Web Apps

How to become a Full-Stack Automation Engineer

The automation testing field is growing rapidly. The need for expert automation engineers is also enhancing who can keep up with the current industry’s demands for safety & efficiencies. Automation engineering includes design, up-gradation & development in the context of automating processes, products, and systems in every area of human life. By this the importance of proficient and knowledgeable full-stack automation engineer is comprehensible. The job opportunities for these professionals currently are massive. Do you carry the necessary tools & skills for riding the wave?

Learn the skills and steps you need to carry and follow for becoming a successful full-stack automation engineer from this article. It will definitely aid you in the long-run in attaining a rewarding career.

  • Get hold of exceptional technical programming dexterity – You can never prance the coding part. Period. Possessing sound programming language is one of the finest full-stack tester skills you need to master. The languages that you need to learn are:
    1. Python
    2. C/C++
    3. HTML
    4. Java
    5. CSS
    6. SQL
    7. Perl
    8. XML

The technical skills that you need to attain are:

  1. Interaction & manual testing agility
  2. DevOps and Agile
  3. Test design
  4. Troubleshooting
  5. Performance testing
  6. Interaction between teams
  7. Configuration management
  • Learning about the automation tools – If you want to get hands-on smart & full-stack QA engineer skills, then you must first learn about test automation tools. These tools pose a lot of advantages to enterprises. Better exposure to your career is only possible when you experiment with the foremost full-stack testing tools accessible in the current market. As a full-stack automation engineer starts experimenting with the tools, it will help them to attain knowledge about their feasibility and architecture for the applications that are under tests.
  • Never ignoring manual testing – When thinking about how to become a full-stack tester, you must emphasize on manual testing conceptions primarily. This is mainly important these days as companies are heading towards codeless testing tools. Grasping the concept of manual testing will help the engineers to reach an expert level. You must first begin by apprehending the difference between when to utilize automated testing & when to utilize manual testing. Once you learn the differences, it will be clear that automation testing is truly the best substitute for manual testing but to a certain level. You must understand that avoiding coding here is not an option. Automation testing is for expert full-stack network engineer.
  • Comprehend the application properly – Within the full-stack test automation framework, what a full-stack automation engineer needs to have is a complete understanding of the application. They must be able to pick up the software application testing inside & out. The application details that testers must keep in mind are:
    1. Which platform is chosen for building applications?
    2. What is the aim of the owner who is developing the app?
    3. What are the features & functions anticipated from the app that is under development?
    4. Are there presently any unresolved bugs?
    5. Which are the programming languages utilized for constructing the application?

These are some of the points & it might differ depending on the intricacy of the apps. As a sound full-stack automation engineer, you must ensure that you are completely meticulous with the app that you are about to test through automation testing.


By the end of this article, we can all understand how promising and thriving, the industry of automation testing is going to be. So don’t you want to be a part of a career that offers optimum exposure to you? If yes, begin by learning the skills as mentioned above as it will only help you to become a better version of yourself. Tap into the potential that is present in this field and learn full-stack software development from experts so that you gift yourself a rewarding career.

Author Bio:

Manan Ghadawala is the founder of 21Twelve Interactive which is one of the best mobile app development company in India and the USA. He is an idealistic leader with a lively management style and thrives raising the company’s growth with his talents. He is an astounding business professional with astonishing knowledge and applies artful tactics to reach those imaginary skies for his clients.

Testing Tool

Better QA: Learning from unit testing standards

“Unit Testing” is a tricky affair. I am pretty sure that testers at some point in time would have complained about the developer not doing unit testing properly and delivered a poor quality build. On the other hand, developers find it difficult to create and maintain unit test cases along with maintaining the agility of the system.

Whatsoever, there is no doubt that unit testing is a crucial part of SDLC and the first step towards testing.

Here I am going to discuss more the unit testing standards which we can leverage in our testing and automation to make it more effective and efficient.

What is unit testing?

Unit testing is a type of testing which is performed to ensure that individual units or components of the application are working as expected. The units or components, in this case, are independently tested using stubs and drivers. Unit testing is crucial as it finds out defects at an early stage and thus reducing the overall project cost and ensuring the code stability.

As a tester, It is also our responsibility to make sure that unit tests are part of our deployment pipeline. As the role of QA has evolved in the last few years, they not only perform functional and integration testing but also actively participating in unit testing. In continuous integration and delivery, the role of QA has become multidimensional and more agile. It’s important to know what unit tests are executed as a part of the release and what is the coverage. I am not going to discuss the importance of unit testing here, I believe that’s pretty clear to everyone.

This article is about how unit test cases are designed and how we can leverage that in our automation test design.

Understanding the concept of unit testing

It’s important to understand the core concept of unit testing. A unit is any entity that can be executed independently. It can be a few lines of code or an entire feature for that matter. The bottom line is it should be an independent executable piece of code. Here is the first take away.

While designing out automation framework, we should also treat our tests as a single independent unit so that they can be tested and executed independently.

Unit testing involves unit test frameworks, drivers, stubs and mocks /fake objects. It works on the basis of a white box technique where conditions, loops, and code coverage are tested.

Below are some unit testing principles which equally hold good for automation testing, let’s revisit them-

  1. Tests should be independent – This is the basic principle, there should not be any dependency among the test cases. This is important because one test case result should not impact subsequent cases.
    In automation, we should make sure that there is no dependency such as environment setting, creating instances of shared resources and cleaning up the same.

  2. Tests should be deterministic – A test should either pass or fail all the time. The worst test is the one that passes some of the time. We should always have a definite reason if the test fails and when correcting that, the test should always pass.

  3. Tests should hold good for pass/fail cases – By this, I mean that a test should fail when it meant to fail. Put assertions carefully and run the test for a fail condition also.

  4. Tests should be self-validating – This means that the test should itself determine that the output is expected or not. There should not be any manual interpretation.

  5. Repeatable – Test should produce the same output every time it runs. This can be accomplished by making them isolated and independent.

How unit testing is performed

Unit testing requires Mocking. It works on mock objects that fill the missing part of functions to be tested. As the other components are still in development or yet to develop, we would need some piece of code to ‘act’ like those components.

Another crucial component of unit testing is APIs. APIs provide an interface for communication between two components. APIs contain business logic and the way APIs work makes it very handy to use them in unit testing.

Both mocking and API go hand in hand to perform unit testing.

Testing Tool

How test automation leverages from unit testing

With more and more organizations going into the agile model, testing (both manual and automation) starts in the initial phase of SDLC. To expedite the process automation has a key role to play. Now we know that in agile requirements keep on changing, development is still in progress and in that situation, API and mocking can be very helpful for automation.

Use of Mock objects – Data mocking can be used to speed up the process rather than depending on the real test data. When the automation test interacts with an object’s properties rather than its functions and behaviors, mocking can be used. Mocking is mostly required when an application interacts with any external service but it can be used in other scenarios also.
A mock object can be used when the real object is:

  1. Slow in operation, for eg- Database access
  2. Hard to trigger for eg- A server crash scenario or a network error.
  3. Still in development.
  4. Not compatible or needs high-cost setup for testing environment.

There are various libraries available for Mocking. Some mocking frameworks are – Mockito, powermock, and easymock for mocking.

Use of APIs – let’s come straight to the point, APIs are faster. Also, API tests are reliable. UI tests can be flaky and slow to execute but API tests will either pass or fail. Of course, we need UI tests but its always a good idea, to begin with, API testing. APIs are developed before UI in most cases so we can always kick start with API testing. 

APIs are also useful while writing integration tests and an end to end testing. We can always integrate APIs in the UI test framework to perform pre-requisite. APIs make them faster and thus reduce overall test suit execution time making it more efficient for releases.

To know more about API testing, you can refer to- 


Conclusion – Almost all unit testing principles and techniques are relevant to the automation and automation engineers should leverage them as and when needed rather than only relying on the traditional automation methods.

Software Trends

Top Trends in Software Testing using AI & ML in 2020

Artificial Intelligence (AI) has made some fantastic progress since its exploratory presentation as a PC program intended to beat chess grandmasters. The main colossal accomplishment was IBM’s Deep Blue, which beat world chess champion, Garry Kasparov. That episode was, in a genuine sense, an expression point in AI innovation.

AI is just on a par with the information that is sustained into its motor. The AI approach is to assemble frameworks and applications that learn and develop themselves, which is known as AI. The productivity of AI calculations relies upon the registering intensity of IT frameworks.

Another age of applications that can talk, tune in, sense, reason, think, and act is accessible to us on our cell phones and work areas. With the approach of AI, there has been a complete change in outlook in programming improvement and programming testing as far as the nature of applications and the speed at which they are conveyed to clients.

From a product testing point of view, AI can be utilized to integrate a colossal measure of information to foresee the correct system and to anticipate future disappointments in programming conveyance.

Computer-based intelligence procedures are influencing all parts of programming testing. The utilization cases in the accompanying table are on the whole observing improvement because of AI.

Machine Learning (ML) Subpart of AI. It depends on working with enormous datasets (Big Data), by social affairs, looking at, and investigating the information to find basic examples and investigating contrasts.

Consequently, AI and ML both include information and endeavors to drive essential leadership utilizing information, yet they are not something very similar.

More or less, it’s this: We can utilize AI/ML strategies to accumulate, look at, and watch creation client information to produce a more brilliant kind of relapse testing.

Organizations are, as of now, gathering vast volumes of information to comprehend clients use each time they visit frameworks. It turns into a part of their AI datasets to fabricate models that expect to take care of issues.

There’s much more to AI than simply creating AI calculations. An AI framework includes a critical number of segments to gather, look at, and concentrate highlights used by clients.

To guarantee the framework has no quality holes, we have to utilize similar information gathered for testing. We are nearer than at any time in recent memory to killing the weight of physically seeing how clients use the whole framework, which will enable us to create tests naturally.

Moving towards AI/ML assembles the correct sort of value inclusion — no all the more think about how to test your framework.

Usually, there is a large number of possible reasons for software testing to become a part of AI and ML. Some of them are discussed below:

Software testing used to be a primary and direct assignment. For whatever length of time that we knew how the framework was to carry on being used cases, it was generally simple to enter info and contrast the outcomes and the desires. A match would mean the test is passed. If there were a confound, cautions would go off as we had a potential bug and expected to fix it by starting from the very beginning once more.

In such a normal situation, an analyzer would glance through the agenda to guarantee that potential clients’ means and activities were altogether secured and issues settled. Be that as it may, since shoppers have become all the more requesting and less patient, one might say, conventional testing strategies frequently can’t stay aware of them.

The primary issue lies in the sheer measure of information that analyzers need to deal with in a constrained timeframe they, for the most part, have nowadays. This by itself removes conventional testing techniques from the condition and requires a progressively critical methodology. That is, the one fueled by human-made reasoning, AI, and prescient examination.

Ecommerce Monitoring

Improved Accuracy

To fail is human. Indeed, even the most careful analyzer will undoubtedly commit errors while doing dreary manual testing. This is the place mechanized testing helps by playing out similar advances precisely every time they are executed and never pass up recording itemized results. Developers from the various technologies, day-by-day basis makes their new opportunities for dealing with the Software Testing for making their Application more responsively.

Going Beyond the Limitations of Manual Testing

It is almost unimaginable for the most critical programming/QA offices to execute a controlled web application test with 1, 000+ clients. By involving the use of Software Testing in the Application, many software developers can easily create multiple selections of the coding making the applications to work with the supportive OS, Coding, and many more.

An Aid for Developers and Testers

The process that has to be sent to the Quality Assurance (QA) team, a specific standard mechanism for testing, is being first approved by the developer’s side. Once the test has been created, these test can efficiently be run at various platform devices and is being checked for any issues. If the problems are not there, it will be redirected to the developer team to make the applications move to the next stage.

Increment in Overall Test Coverage

With robotized testing, one can expand the general profundity, and the extent of tests is bringing about by and significant improvement of programming quality. Computerized programming testing can investigate memory and document substance, interior program states, and information tables to decide whether the product is carrying on as it is relied upon. Test mechanization can execute 1,000+ diverse experiments in each trial furnishing inclusion that is beyond the realm of imagination with manual tests.


For the present, utilizing AI or ML to improve programming testing remains, for the most part, hypothetical. It’s not something associations are doing well at this point. Yet, that is valid for most AI or ML innovations. They stay in their outset regarding what engineers trust they’ll in the end become.

The advantages of applying AI and ML to programming testing are clear enough. Presently, it’s only an issue of dispensing the assets essential to manufacture the calculations and schedules. On the off chance that your organization is now taking a gander at AI/ML activities in different territories, I’d propose they consider extending them to programming testing, as well, so as not to be abandoned when the AI and ML upset turns out to be a piece of this specialty.

Author Bio

Nathan McKinley is a Business Development Manager at Cerdonis Technologies LLC – mobile app development company in Chicago, the USA developing mobile & web apps with the latest technologies for better user experience. After spending years in the marketing field as a business developer, he has amassed knowledge of tech updates and its vulnerabilities to adapt and use in mobile & web development.

Selenium Node Container

Selenium 4 Alpha- What to Expect?

Back in August of 2018 the whole testing automation community had been struck by the big news: Simon Stewart, the founding member of Selenium, had officially confirmed the release date and some of the major updates for Selenium 4 at the Selenium Conference in Bangalore. The 4.0 version of the world’s beloved framework for web testing automation was meant to be released by Christmas 2018.

A little delayed, Selenium 4.0 Alpha version is released which can be downloaded from Selenium official website for javascript. Let’s revisit the features which were announced in the Selenium conference and some of the improvements and additional features that are present in this version.

Why Selenium 4.0 is important

If you think that testing automation engineers are the only people in the world who should care about the major update of Selenium, you’re wrong.
Of course, Selenium has become the industry standard for implementing custom automated tests and is considered to be the first go-to solution for every web application that has grown out of an approach where manual testing could have solved the majority of the problems.
But what is often left out of the picture is that businesses that heavily rely on Selenium are not only the ones who have automation QA engineers on their team but also the ones who have integrated codeless automation testing tools based on Selenium.

Selenium-based codeless testing has become a real lifesaver for every business that realizes the importance of automation but doesn’t have in-house QA experts who would be able to implement it. Such tools not only make the deployment possible for anyone with the basic understanding of web browsers but also make it possible to run regression tests, do synthetic monitoring and load testing without any knowledge of Selenium framework at all.

A perfect example of such codeless automation software is CloudQA. On top of Selenium, we’ve developed a tool that requires zero effort from the team, integrates with the third-party applications, makes building test cases easier than ever before, monitors your web page performance 24/7 and costs less than hiring a junior manual tester.

If you want to learn more about the benefits of Selenium-based codeless automation tools, get a free demo.

Selenium 4 major changes

Lets go through the major changes of Selenium 4.0 Alpha version-

W3C WebDriver Standardization

First of all, Selenium 4 WebDriver is completely W3C Standardized. The WebDriver API has grown to be relevant outside of Selenium and has been used in multiple tools for automation. For example, such mobile testing tools as Appium and iOS Driver heavily rely on it. The W3C standard will also encourage the compatibility across different software implementations of the WebDriver API.

Here’s how Selenium Grid communicates with the Driver executables in previous versions:

W3C WebDriver Protocol

A test in Selenium 3.x communicates with the browser at End node through the JSON wire protocol at the local end. This approach requires encoding and decoding of API.

With the updates we’re expecting to see in Selenium 4, the test will directly communicate without any encoding and decoding of API requests through W3C Protocol. Although JAVA bindings will be backward compatible, the focus will remain more on the W3C Protocol. The JSON wire protocol will no longer be used.

There are multiple contributors to the W3C WebDriver specs, and the whole process can be seen on GitHub.

Selenium 4 IDE TNG

Selenium 4 IDE TNG

The Selenium IDE support for Chrome is available now. You can download it from- https://selenium.dev/selenium-ide/ 

As we all know that Selenium IDE is a record and playback tool. It will now be available with the following, much richer and advanced features:

  • New plug-in system. Any browser vendor will now be able to easily plug into the new Selenium IDE. You’ll be able to have your own locator strategy and Selenium IDE plug-in.
  • New CLI runner. It will be completely based on NodeJS, not the old HTML-based runner, and will have the following capabilities:
    • WebDriver Playback. The new Selenium IDE runner will be based entirely on the WebDriver.
    • Parallel execution. The new CLI runner will also support parallel test case execution and will provide useful information like time taken, and a number of test cases passed and failed.

Improved Selenium Grid

Anyone who has ever worked with Selenium Grid knows how difficult it is to set up and configure. Selenium Grid supports test case execution on different browsers, operating systems, and machines providing parallel execution capability.

There are two main elements of the Selenium Grid: Hub and Node.

Hub acts as a server, a central point to control all the test machines in the network. In Selenium Grid there is only one hub which allocates the test execution to a particular node based on capability matches.

Node, in simple words, is a test machine where test cases actually run.

Selenium Node Container

For more details on Selenium Grid, we suggest reading the complete official tutorial on Selenium Grid.

Until now, the setup process of the Selenium Grid has often caused testers difficulties with the connecting node to the hub.

In Selenium 4, the grid experience has become smooth and easy since there will no longer be any need to set up and start hubs and nodes separately. Once you start a Selenium server, the grid will act as both a hub and node.

Selenium provides three types of grid-

  1. Standalone Mode
  2. Hub and Node
  3. Fully Distributed

The new selenium server jar contains everything which is required to run a grid. It has all the dependencies. The new grid also comes with Docker Support. For now, the docker integration doesn’t make use of UNIX domain sockets, so ensure your docker daemon is listening on port 2375.

For more details, refer to- https://github.com/SeleniumHQ/selenium/wiki/Selenium-Grid-4

Better Observability

“Passive observability is the ability to do descriptive tracing.”  
– Simon Stewart

Observability, logging and debugging is no more confined to DevOps now. As part of the upcoming release, the request tracing and logging with hooks will be improved to provide automation engineers a hold on debugging.

Refreshed Documentation

Documentation plays a key role in the success of any project. Selenium docs have not been updated since the release of Selenium 2.0. Meaning, that anyone trying to learn Selenium in the past several years, had to use the old tutorials.

So, naturally, the renewed and up-to-date documentation, which SeleniumHQ promises to deliver us along with the 4.0 version, has become one of the most anticipated Selenium updates within the testing automation community.

Improvements in Selenium 4.0 Alpha version-

ChromiumDriver and DevTools:

In Selenium 3, EdgeDriver and ChromeDriver have their own implementation inherited from RemoteWebDriver class. In Selenium 4 Chromedriver and EdgeDriver are inherited from ChromiumDriver. ChromiumDriver class has predefined methods to access the dev tools. Consider the below code snippet-

ChromeDriver Script

The above code creates a session to the given URL and executes javascript to print a message. DevTools is a class which has methods to get a handle on developer options.

DevTools can also be used for performance measurement and get page load time.

Better Window and Tab Management

Selenium 4 now has given the capability to work on two different windows at the same time. This is particularly useful when we want to navigate to a new window(or tab) and open a different URL there and perform some action.
Tab Management Script

newWindow() method opens a new window or tab based on the WindowType given in its parameter.

Relative Locators

In Selenium 4 alpha version we can also get locators relative to any other locator.

  • toLeftOf() : Element located to the left of specified element.
  • toRightOf() : Element located to the right of the specified element.
  • above() : Element located above with respect to the specified element.
  • below() : Element located below with respect to the specified element.
  • near() : Element is at most 50 pixels far away from the specified element. The pixel value can be modified.

Full-Screen Snapshot

Now we can take the full page screenshots with getFullPageScreenshotAs() method in the Firefox. But instead of typecasting it to ‘TakesScreenshot’ interface, we need to typecast it to FirefoxDriver instance.

File src = ((FirefoxDriver) driver).getFullPageScreenshotAs(OutputType.FILE);

There might be some more interesting features and improvements, so go ahead and explore!

Planning Software Testing

5 Software Testing Strategies to Uplift Business Growth

The immense popularity of SaaS products in the market has been an important factor in the surge of start-ups delving into the software industry. However, when it comes to developing and putting a software product on the market, just a simple idea is not enough.

There are just as many failed software products in the market as similar offerings are abundant. This has cost companies a hefty amount in losses. As per a report by CISQ, the cost of poor quality software in the US alone amounted to a whopping $2.84 trillion.

Deteriorated quality can be due to numerous reasons. One of the major losses contributing to the cost was software failure, accounting for approximately 37% of this cost.

The tech start-up industry is a rapidly progressing one where the competition is quite cut-throat. In such a scenario, a great product is a start-ups survival kit.

Launching a product full of bugs leads to additional time in product marketing and cost while pushing the deadline to fix these bugs. These are the time and resources that an upcoming start-up just cannot afford.

​The solution? Immaculate Software Testing.

Quality assurance through software testing helps the team detect potential defects in time to avoid additional loss.

Developing a detailed software testing plan compiled using effective strategies has quite a few benefits including saving up on time and resources while ensuring a quality end product.

Strategizing for software testing relies a lot on the method adopted for software development. Nowadays, most products are being developed using the microservices architecture, a variant of the SOA. In this scenario, one must adopt microservices testing strategies suited to their product.

3rd party services can you slow you down

Thanks to innovative technologies like API integrations, you can hook up the website with a service of your choice. For example, you may use a plugin that helps in customer analytics or a promotional banner.

Such services can cause your website to slow down or malfunction. It may not be apparent on your device but real users with different browsers and geographical locations can get affected. Ecommerce monitoring tool help you in detecting any issues with 3rd party services.

Here are a few software testing strategies that you can adopt to ensure the perfect end product:

1. Align your QA strategy to your business goals

  • The growth of a business is determined through multiple achievements. Business owners must ask themselves this question; what is the purpose of software testing? How does the process affect the achievement of your business goals?
  • A product is launched into the market with certain key achievements in mind. These goals must be communicated to the entire company including the QA and development team. This way, the developers will have a clear idea about the kind of product that you have in mind.
  • While the QA team will strategize according to your requirements and test for perfecting the aspects that are crucial to your goals. This prevents a lot of post-launch debugging and troubleshooting.
  • It also simplifies strategizing for the QA team who can then create a detailed plan focused on your goals, divide the tasks as needed and work with the development team for testing and debugging before the launch.

2. Create a detailed plan for testing and QA processes

  • As mentioned before, the QA team must come up with a good strategy that aligns with the business goal. This strategy can be efficiently executed if the entire process of testing is well documented. Documentation is the key to maintaining consistency in quality. This plan can be divided into four segments:

    • Quality management plan
      A quality management plan is a documentation of testing the product for the desired level of quality that meets the customer requirements. It includes quality objectives, standards along with roles and responsibilities to assure the same.
    • Testing strategy
      This is a document prepared by a business analyst or project manager to align the testing process with the business requirements. It is focused on what the ideated product is and the aspects of the product that need to be tested thoroughly to meet the business goals.
    • Test Plan
      The team needs to draw out a detailed plan for testing in terms of what to test, how to test it and who will be conducting these tests.
    • Test Case
      A test case is the documentation of a set of conditions that need to be stimulated to verify certain functionalities of a particular feature.

  • Each of these documents must contain the focus of the process, the key elements involved in the same. A standard policy to follow during the procedure along with the individuals involved in testing.

3. Suitable work environment for the QA team

  • The work environment isn’t given much priority in terms of devising testing strategies. However, it is quite important as the overall work environment affects the attitude of the QA team. Here are a few steps you can take to ensure a healthy work environment for the team:

    • Clear demarcation of tasks
    • Involvement of the QA team in the development
    • Expanding their knowledge base in terms of the business aspect of the product
    • Open Communication
  • This will ensure a suitable work environment targeted towards efficient quality assurance.

4. Testing for User Acceptance

  • A good product is developed keeping the end-user in mind. The QA team can understand the defined user persona for the product and test based on these user types.


  • In such a scenario you can engage your end-users in the final stage of development and carry out user acceptance testing. Here’s how you can go about the same:


    • Define a method for your UAT process
    • Conduct testing in an organized manner
    • Document the process

  • Many applications also include user onboarding before entering the app, briefing them about various functionalities and how to go about using their app. This makes it easier for the end-user to use your product.

5. Measuring Code Quality

  • Ensuring code quality is extremely important in software testing. Certain metrics help to make sure your code is running smoothly and is bug-free.

  • As per the CISQ Software quality model, here are a few metrics that you can use to measure code quality:

    • Reliability Reliability defines how smoothly your code can run without failures. This includes the number of bugs found in production and the amount of time it takes to load the application.
    • Performance Efficiency Performance efficiency can be defined by the quick responsiveness of the application to perform any given functionality. It can be defined through load testing or stress testing.
    • Security Security can be measured by the application’s ability to detect any such issues and the time it takes to fix these errors.
    • Maintainability Maintainability depends on the complexity of the code. It can be measured based on how many lines there are in the code and how simple or difficult it is to find a given line and modify the same.
    • Rate of delivery The Rate of delivery is based on how quickly software is updated and delivered to the end-users.
  • These metrics can ensure that your code is up to the mark. Code being the backbone of your software, this is one of the most crucial testing strategies there is.

These are a few guidelines that you can follow to ensure a great quality end product that makes the best use of given resources.

It can get a little overwhelming, but breaking down these strategies into smaller tasks and delegating the same can help you in conducting a quick and efficient software testing process.

Author Bio:

Hardik Shah works as a Tech Consultant at Simform, a leading custom software development company, offering software testing services. He leads large scale mobility programs that cover platforms, solutions, governance, standardization, and best practices. Connect with him to discuss the best practices of software methodologies @hsshah_.

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Automation Detailed Analysis

Test Automation in Production Environment

If you have landed up to this article, I assume that you are an automation test engineer and very well aware of the advantages of automation testing. If not, you can have a look at Manual vs Automation testing.

This article deals with the automation strategy and implementation in the production environment. As an automation engineer, we set up the test environment as a part of the automation life cycle and run scripts on that. We also have a staging environment that is supposed to simulate production.

In most organizations, staging is a miniature or replica of production and they try to make it in sync as much as possible. It is mandated to test and run scripts on staging and sign off before each release.

Then ‘why test in production’?

  1. Testing in production gives confidence that the application is working fine.
  2. It gives the tester real-time scenarios where the test cases are not predefined and users keep on changing data.
  3. Edge cases related to network failure, slow connections, high traffic, etc can be found and tested.
  4. To monitor API response during peak traffic.
  5. Catch bugs at an early stage and fix them before they impact user experience at a much bigger level.

In organizations, a different instance of the database is kept, synced with production data on a scheduled basis. This further masks the sensitive information like user personal details. The problem with this approach is that often the staging cluster size is much smaller than the production. Now the configuration options for eg – load balancer, queues, the size of the thread pool, etc. are pretty different than production. The chances of getting issues in scenarios where traffic is high and multiple systems are involved, become very less in staging. I believe this gives a fair idea of why we must test in production.

Though production testing can be as basic as executing sanity checklist manually or as detailed as we may want. Here I will not be discussing the manual approach. So let’s directly jump on to how automation can help test  the production environment. In this article, I will try to answer a few questions related to this –

  1. The automation approach to test in production
  2. Risks of testing in production systems
  3. Advantages of automation
  4. Tools to automate production test cases

 Approach of automation in production- Testing in production is another quality guard around the AUT. 

While we should always test at each stage of SDLC, a failure might happen in production. If as a tester we regularly run our automation suite in production, the root cause, and fix is quick and early without impacting the business as it could at a later stage.

  • Post-Live Sanity– An approach could be to create a sanity checklist of the most critical functions of the application and create/ reuse the test scripts for them. Having a sanity suit ready and schedule it whenever a deployment is made. This can be further integrated into the CI/CD pipeline.
  • Monitoring- Monitoring can be done with a set of functional test scripts scheduled for production. The key to choose test scripts is that those should cover user behaviour and should not manipulate data in production. With the DevOps integration and CI/CD evolution, Many organizations have come up with the concept of ‘ QA in Prod’ which means necessary changes made to the application to support testing in production.  Another way is to mock real-time data to run test scripts.
  • Synthetic Monitoring- Synthetic monitoring is used to health check the application with respect to actual user behaviour. This is critical to provide seamless user experience by finding and fixing issues as quickly as possible. Synthetic monitoring test scripts are based on past user behaviour data. It tends to find problems users might have with the application. It addresses the following issues-

    1. Is the website up and running?
    2. Are the website functions working properly?
    3. Is there any failure and if yes where it failed?
    4. What is website performance in terms of API responses?
    5. Are the 3rd party components working?
  • Alerting- Alerting systems are used to send alerts if something goes wrong in production. Alerts can be sent in any form- email, SMS, call, etc. There are many tools available to configure alerts. One of the most popular tools is NewRelic.

Risks of automating in production

The process of testing in production depends on several factors. The major factor is the application itself and what exactly needs to be tested. Test Engineers should keep in mind that there should not be any manipulation of production data. Businesses could experience a loss of transactions or commingling of test data with production data. Experts agree that a major risk of testing in production is the business risk. A bad user experience, security issues or system crashes could all lead to a loss in profit or tarnish a brand.

Major risks are-

  1. Exposing potential vulnerabilities to the public.
  2. Loss of data/ Manipulated data.
  3. Poor user experience due to instability of application.
  4. Security issues or application crashes.

It is critical to address these risks and design a strategy accordingly.

Advantages of Automation in Production– Automation Testing in production has many advantages-

  1. Scheduled monitoring and alerting of issues before it can impact user behavior.
  2. To maintain the desired quality of the application.
  3. To verify the performance of the application in high traffic and response time of web pages.
  4. To support continuous testing in agile model.

Tools to automate testing in production- Automation in production may involve-

  1. Creating a sanity checklist first and write test scripts for the same.
  2. Creating a monitoring suite with integrated test scripts and integrated alerting system.
  3. Integrate the automation suit in CI/CD pipeline.

CloudQA’s truMonitor is a complete tool to achieve above requirements.

How CloudQA TruMonitor can help in designing a complete Production automation tests- CloudQA helps to find and fix issues before they impact your end-users. CloudQA will monitor and send alerts during low-traffic periods
  • Simulate business-critical customer journeys, use the recorded test cases to check critical flows
  • Ensure that your web application is available and performs well
  • Reduce your hours of manual troubleshooting down to seconds by analyzing hundreds of test executions, thousands of objects, millions of dependencies, and billions of events in seconds.

How does it work?

CloudQA can monitor both your test cases flow and URLs

  1. Navigate to TruMonitor, Add a test case
  2. Search and select the test case from the list, set the frequency and save
  3. Click on the test case to view results
  4. The results have the following information
  • Availability analysis, Performance analysis, SLA report and KPI Trends.
  • Execution information – You can set up Notifications for any functional failure during monitoring and also get performance alerts based on the Threshold value.
  • Clicking on status will direct you to the step results page.
  1. Navigate to Monitoring report for detailed analysis of your application.

All the Critical errors in the test cases flow, can be reported to you through SMS.

Test Automation

Microsoft’s Dynamics 365 test Automation - Codeless!

Microsoft never fails to deliver the ease of operation in a user-friendly manner. Dynamics 365 is one such significant service investment that Microsoft has done right. The key factor of codeless test automation is its simple procedure and the upgrade that extends the same privileges to users.

Several problems that seemed not a much of trouble, positioned quite a significant risks to organizations. This is why Dynamics 365 automation testing came into the picture. It ensures safe and smooth operating of the system. And this is where CloudQA plays a vital role to assist with the dynamics 365 testing module.

Stats says, 40% of an application’s lifecycle is dependent on testing quality. CloudQA, assist your company to leverage the Microsoft Dynamics testing process. As we understand how business managers are eager to reduce the negative effects of software testing.

Personnel monitoring, debit and credit scores, arrangements, expansions, spots, new module implementation to mention a few time-consuming activities related to an ERP of your company. These are all managed by Microsoft Dynamics.

The base Microsoft Dynamics application is deep as well as broad. It consists of a host of attributes, components, software and hardware configurations. Independent software application vendors do expand or modify Microsoft Dynamics, giving functionality for verticals and certain market demands. It is vital to check the remedy completely as all the modifications are applied.

7 things you must know before starting your testing

  1. The standard, out-of-the-box capability of Dynamics can be found in 24 languages, which simplifies localization testing considerably. It implies that when tailoring the system, just newly established or configured functionality is required to qualify the localization testing.
  2. When centering the tailored part of CRM, testing engineers typically inspects personalized entities and areas, control aspects, plug-in performance, functional updates made on JavaScript (messages, additional web pages) and custom records.
  3. Besides localization testing running useful GUI tests is equally important to inspect and verify before heading further. The outcomes that you get at this stage will certainly define the direction to your testing execution.
  4. In a customized Dynamics 365, more than half of part of performance is likely to come pre-checked. This implies that you are left with testing of freshly added and tailored part, which generally involves entities, features, and fields. Usually, there is no need to verify new areas as the control aspects get the typical attributes with respect to the information feed.
  5. For the newly created performance that is to be completely tested, the testing needs are similar to the ones for the customized features. Along with that, all the types, windows, control aspects and other essential features established separately and added to the Dynamics 365 via JavaScript or other plugins, are toned to survive the full-scale check. Otherwise, the time invested in personalizing your customer partnership management system will certainly won’t bring you much value.
  6. The Dynamics products are somewhat complex web applications that are challenging to automate with Selenium scripts. For instance, the tester will certainly need to manage elements such as “embedded iFrames”, “deep things trees”, and “vibrant IDs for child windows” when trying to automate easy procedures in, say, the Sales application. Just making the Selenium WebDriver locate the appropriate component in the application requires the tester to spend a lot of time scripting the correct locator technique.
  7. Another problem from a testing viewpoint is that the UI standard of the Dynamics applications differs from version to version. You cannot desire to lock-in designer resources to test automation, as this would consume the time of establishing your regional Dynamics personalization.

Dynamics 365 automated testing

Dynamics-users have to validate numerous critical business hurdles. With frequent updates to the core and also standard applications, it’s vital to thoroughly examine Dynamics-based applications and processes.

Discover exactly how to:

  • Kick-off automatic testing of Dynamics 365
  • Automate with out-of-the-box parts
  • Incorporate with any kind of release pipe

Testers require to automate Dynamics 365 applications

  • To support continuous deployment
  • To verify processes throughout applications
  • To examine legacy system assimilations
  • To check production atmospheres

Having problem testing the Microsoft Dynamics 365 applications?

Configuring automated testing and also contracting out testing initiatives end up with the very same result: Test cases stop working and top quality has to compromise. Make sure your Dynamics-applications do not break with durable test automation that can be developed codeless.

CloudQA consists of specialized libraries for testing Dynamics 365 applications built-upon the common UIAutomation library. The library comprises special extensions for handling unique controls such as tree views, the navigating explorer and the various grids used to modify information. Additionally, CloudQA can evaluate numerous websites using its web internet browser libraries.

Having a well-functioning and customized Dynamics 365 is what every successful company aims at. Yet, buying off-the-shelf products might be limiting for your company if you intend to improve organisation processes in your sales and advertising department. To ensure the system addresses your urgent demands, modification of a CRM platform is a common alternative. Microsoft Dynamics CRM is not an exception.


In a nutshell, we have actually laid out significant areas of focus while testing the customized Dynamics 365. Ideally, you will utilize them when localizing your platform along with testing its functionality, performance and UI.

CloudQA is focused on enhancing your Microsoft Dynamics ERP performance regularly with quick automated and repeatable testing activities.


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User Acceptance Testing

User Acceptance Testing : Codeless Automation solution

User Acceptance testing is an integral part of software development life cycle. By definition user acceptance testing is a type of testing where the software is tested in the real world by intended audience. This is the last phase of software testing and often performed to verify that software can take up real world tasks and developed as per user requirements.

In most of the organizations, it is performed by the Product owner or business analyst as they represent ‘end user’ and document the requirements at initial phases. 

Now the question is, why do we need user acceptance testing? After so much of testing being already done, is it really required? As we all know that before UAT, test engineers already perform functional and non-functional testing and make sure that the application is working fine then what is the use of user acceptance testing?

I will take an example to explain this. Let’s consider a requirement which states , “ Develop a feature which enables users to communicate with each other through text messages” Now the details in the requirement clearly mention that it should be a chat feature. Developer developed a standard chat feature and test engineers tested according to PRD that its functionality is working fine. They performed functional testing, performance testing and load testing to ensure that the chat feature is robust and can handle concurrent users. Now what will be tested in UAT? UAT will ensure that the chat feature which is being developed is usable to the end users and they are able to communicate with each other effectively. 

While testing there might be issues like messages are getting delivered but there is a lag of few seconds. So functionality is fine but that lag can make the feature less usable for end users.

User Acceptance Testing

Clearly UAT is the final check before code goes on production so it is critical.

Now the two important questions arise-

  1. Who performs user acceptance testing?
  2. How to perform user acceptance testing?

Who performs User Acceptance Testing?

  1. Product Managers/business analysts/Client
  2. End users.
UAT is not for techies. Its core concept is to understand how the end user perceives the developed application and it is usable for intended users.

How to perform User Acceptance Testing?

The most important part of UAT process is to decide how to perform it. Most of the time UAT cases has been written by product owners and test engineers execute them before release. Or in some cases product owners may execute UAT cases by themselves and provide a UAT go ahead.

Approach for UAT

Manually written UAT tests- An approach can be to write UAT tests and get them reviewed by a set of end users or product owners and execute them manually before release. But as we all know manual test execution takes time, and in agile, we expect faster deliveries. There are few major drawbacks with manual testing approach-

  1. Manual tests are unproductive as it takes time to write and execute them, making it unfit in faster delivery agile environments. 
  2. Investing time and effort for hand-written manual tests is inefficient as it provides a second layer of coverage on unit and integration testing.
Now the question arises can UAT tests be automated? But what about the automation test script maintenance? Wouldn’t it be a burden to maintain the scripts as we all know that requirements keep on changing in mid-release cycles. Considering this, many companies do not automate UAT tests. But is there any way where we can create low-cost automation suit for UAT? Fortunately yes! Let’s discuss how we can achieve this-

UAT Automation-There is no denying that automation would help in reducing cost and time required. But keep in mind that UAT owner is essentially a non-technical person who will not understand the coded tests. So the automation framework built on the most popular Selenium, cucumber using any programming language may not serve the purpose. The essential aspect of UAT automation is to decide the right tool. There are many code-less automation tools available which can be easy to maintain and understand for non- techies.

Codeless Automation Tools for UAT

When we talk about codeless, the first thing comes into our mind is record and playback tools.

As a test engineer, we have used record and playback tools in the initial days of automation and got a really bad impression. The Selenium IDE or QTP record and playback tools used to provide limited support for logical solutions. 

But in recent times, a lot of things have changed and there are many record and playback tools available which are developed using artificial intelligence to provide a seamless automation. Also, now a days application UI keeps on changing so maintaining codeless automation framework for UAT is a lot more easy and manageable. There are two major benefits which we can get from modern codelss automation tools-


  1. Easy to create, modify and maintain. Thus non-technical users can also get more control over UAT suits.
  2. More productive. It becomes easy to keep  UAT tests in sync with requirement and implementation changes.

Choosing the right Acceptance testing tool

At the end, choosing the right tool for UAT automation matters most. CloudQA offers a codeless automation testing tool with a very user friendly interface. Its core functionality is record and play-back user actions performed on the application which makes it apt for UAT automation.

Test Recorder contains the settings and the list of steps to execute in order to test the application in a certain way. Test Cases are auto-generated using the Test Recorder.

TruRT which is a set of logically grouped test cases in a random or sequential order, allows to schedule set of test cases or invoke them through an API. The execution engine runs on Amazon’s cloud for faster execution. In the end it provides an extensive reporting with different type of views. You can also download the report in CSV or HTML format to be analysed by different stakeholders.

Does this sound like the functionality which you can use to optimize your UAT automation? You can register for a trial version from the link below-


Register for the trial version and record a demo test. The platform is simple and interactive for a non-technical person and it will take hardly five minutes to record a basic test.

There is a very rich documentation available, which can be used to understand the tool better-



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Codeless Testing

Codeless Testing: Everything You Should Know

It’s no secret that enterprises engaged in software development are in the realm of growing pressure to speed up – introduce new features, shorten release cycles, and generally respond swiftly to changing technology trends.

Consequently, application development has undergone a significant paradigm shift over the years. Today, development environments such as DevOps and Agile favor speed, agility, as well as come in handy in risk reduction.

While this is a huge step in the right direction, application development still encounters delays in essential areas such as testing. A survey conducted by Gitlab in 2018 reveals that testing contributes to 52% of the delays in application delivery.  As you can see, this is way above the other steps in the development cycle.

In this article, we shall dig into the root cause of these delays and how codeless testing can make the process easier and quicker.

Codeless Testing

The root cause of testing bottlenecks

Testing bottleneck first emanates from the use of manual testing, and secondly from all the code that is “thrown around” the QA team way.

In today’s agile development environment where the development and release cycle entails releasing several features and extending a set of features in reiterated releases, testing has become even more complicated.

The problem with manual testing in such an environment is that it is cumbersome and time-consuming. Since humans do the testing it’s also prone to errors.

While automation is hailed as the savior here, automation relies on code yet testers may not necessarily be coders.  Instead of simplifying the testing process, testing teams may feel thrown out their comfort zone to tasks that are beyond their job description.

This is where codeless testing comes into play.

Codeless testing as the great savior

Coding from scratch test after test is expensive, time-consuming and requires acquired skill. Codeless testing enables quick and simple creation of tests. No coding skills are needed. This allows the testers to focus on what they do best: testing.

To drive the point home, here is a practical example.

Codeless platforms such as Shopify and Wix have led to an incredible expansion of the web by allowing millions of businesses to set up an online presence quickly and effortlessly.

Codeless platforms are also making strides with the likes of Filemaker, Salesforce, and Nentext to offer drag and drop solutions to optimize and speed up the efficiency of large scale administrative tasks.

But, how does codeless testing work?

Codeless test automation works in a similar way to enterprise codeless platforms. Both use automated code generation to simplify complex tasks traditionally achieved by coding.

In test automation, a tester visually binds elements that represent clicks in the software web application by creating a flow. On the other hand, in codeless testing, the tester goes through motions of the scenario that is being tested, and the code for the test is generated under the hood.

The process can get more technical than this, but we will stop there. After all, that is the idea with codeless; to allow testers to focus their efforts on testing functionality and evaluating user experience instead of struggling with test creation.

Quickly convert your end-to-end web testing process to run over 80% faster and accurate now. 

Benefits of codeless testing

  • Effortless document processes and change
    Codeless testing, which includes the visual description of a process as well as documentation of how that process is executed, significantly reduces the effort required in testing. Automated tests are documented with logs and videos using advanced testing practices. All actions and events can be recorded in audit trails.

  • Advanced adoption with a codeless test automation
    Unlike code based custom frameworks, the beauty of codeless testing is that it can be used as a complete solution for automation needs across organizations. Using a center of excellence set up to advance an automation testing process simplifies the process of sharing knowledge and best practices across projects for collaboration.

  • Outspread the scope of automation
    The codeless automation process makes it easier to support various types of applications,  including desktop, web, and virtual applications. This means that automated tests can include different interfaces across applications as part of or beyond the project. This level of flexibility makes it easy to measure the amount of automation from one to a number of applications. This is especially true for applications that include testing automation between projects.

  • Lower maintenance cost and sale automation
    It is easy to reunite automated flows into reusable parts that can be utilized as sub-flows across testing the use cases. Should changes be made into reused sub-flows, the changes will be effective throughout all testing use cases holding the module. This means that most of the time, there is no need to correct the automation flows every time changes are made to the system under test because codeless test automation relies on native identification of the objects of test use cases.
    Since automating tests essentially follows current best practices and business rules, it is easier to scale and maintain the test automation cost.

  • Compatible with the speed of the development cycle
    Graphical UI workflows are used in the creation of codeless test automation. The code is designed to simplify the learning and implementation of automation.
    As soon as UI development is done, the testing process can embark on automating the use cases. No time needs to be wasted going through difficult coding and frameworks.
    As a result, it is possible to match the speed of the development cycle with continuous integration and testing in agile.

Final Word

All said and done; codeless testing can significantly help you save on time as well resources used in monotonous tests that are known to derail developers and testers.

While the process may not be completely code-free, your team has better chances to shine in the QA process. This simply because codeless testing is: easy to understand therefore you spend less time on automation, time-saving since no code experience is required, cost-effective and has a friendly interface that facilitates the whole process of testing.

At CloudQA, we employ codeless testing for Load Testing, Synthetic Monitoring, and more. Our platform promotes collaboration through intuitive and simple features. Contact us today. We are happy to hear your thoughts and answer your questions about codeless testing.


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Regression Testing and Bug Fixing

Regression Testing: Tools and Techniques

Regression Testing, by its definition, is a type of software testing to confirm that a recent program or code change has not adversely affected existing features.

It is done to make sure that the existing application is intact with the newly added features and nothing is broken. In order to achieve that, the existing test cases are executed selectively or sometimes completely. Regression testing ensures that the old code still works once the new code changes are done.

Why is it required?

Regression testing is carried out in many cases-

  1. Changes in the requirement of an existing feature.
  2. Addition of new feature
  3. Bug fixes
  4. Technology change/upgrade
  5. Performance Fixes
  6. Code optimization

Regression testing ensures that the changes have not introduced new bugs in the existing features which were working fine before. Sometimes there is a change in requirements of the existing feature itself which may impact other features of the application. In this case, regression testing is carried out for other features. 

Regression testing is also required in cases where the underlying technology is changed or upgraded due to old libraries are deprecated. To ensure that this does not have any impact on functionality, testers perform complete regression testing.

When a developer does code optimization or performance fixes then also testers perform regression testing.

Re-testing and Regression Testing- There is a difference between re-testing and regression testing. Retesting is to test the software/ application when a defect is fixed to ensure that the original defect is completely removed while regression testing is performed to make sure that no new defects are introduced when a new feature is developed or existing feature is changed.

Regression Testing Techniques-  Usually testers include regression testing in their test plan for each release. As defined, it should be performed to ensure that new features do not have any impact on existing features, it must be included in each release plan. As most of the organizations follow agile methodology where releases are frequent, regression testing is achieved by continuous testing and automation. There are various techniques of regression testing-

  1. Retest All- This is the technique where test engineers execute all the existing test cases without any miss. This is quite expensive as it requires huge time and resources.
  2. Regression Test Selection- In this technique, test engineers select a subset of test cases based on the impact analysis. Test chosen cases categorized as
    • Reusable Test cases
    • Obsolete Test cases

    Reusable Test cases used in succeeding Regression cycles. Obsolete Test cases not used in succeeding cycles.

  3. Prioritization of Test cases- To prioritize test cases depending on a business impact, critical and frequency used functionalists. Selection of test cases based on priority will significantly reduce the regression test suite.

Quickly convert your end-to-end web testing process to run over 80% faster and accurate now. 

Types of Regression Testing-

  1. Selective – Selective regression testing is a type of regression testing where testers select test cases from previously run test suites and test coverage identification. To perform this, test engineers use a sub-set of already run test cases to reduce the cost and effort required in re-testing.
  2. Complete – Complete regression testing is used when there are changes in the root code of the software. It is also performed when there are multiple changes that have been done to the existing code.
  3. Corrective – It is performed when there are no changes in the existing software/application. The already existing test cases can be re-used to perform this type of regression testing.
  4. Partial – This type of regression testing is performed after impact analysis. Test engineers do selective test case execution based on the modules which get impacted due to new code merge.

Can regression testing be done Manually?

Regression testing can be performed manually. But this leads to inefficiency if the application is large and impact is big. Also, it is very boring to execute repetitive test cases again and again for a test engineer.

To perform regression testing, the tester needs to identify the test cases which must be executed.If the no. is big, testers need to find out the best combination and optimize them.

Regression testing Tools- Regression test cases can be automated and executed on a scheduled basis. There are many tools that are reliable and scalable. Let’s have a look some of the most popular tools-  

  1. CloudQA- CloudQA provides a unified platform for various testing requirements including tools for regression testing. It an advanced record and playback testing tool with integrated reporting which is quite easy to use for creating and scheduling regression testing suit. It also provides integration with various third-party tools for eg-
    • ALM tools (TestRail, TFS, Asana)
    • Bug Tracking (Jira, BugTracker)
    • CI/CD (Jenkins, CircleCI, TravisCI & DevOps support)
    • Open API Integration
    • Team communication (Slack, SMS, webhooks)
    • Version control tools (Github, TFS)

  2. Winrunner – HP WinRunner software was an automated functional GUI testing tool that allowed a user to record and playback user interface (UI) interactions as test scripts. As a functional test suite, it worked with HP QuickTest Professional and supported enterprise quality assurance.
  3. QTP – QTP is an automation testing tool by HP which is now called as HPE Unified Functional Testing software. It supports VB scripting language to specify the test procedure and also provides a GUI. To perform more intensive actions the user may need to modify the underlying script.
  4. Watir – According to Watir website, Watir stands for Web Application Testing In Ruby. It facilitates the writing of automated tests by mimicking the behavior of a user interacting with a website. It supports multiple browsers like Internet Explorer, Chrome, Firefox, Opera and Safari.
    Its latest version is watir webdriver which is based on selenium API.
  5. Selenium – Selenium is a set of tools used to automate web applications across platforms. It supports many third party libraries to facilitate a complete framework for automation. It also supports multiple programming languages. Selenium has the support of some of the largest browser vendors who have taken (or are taking) steps to make Selenium a native part of their browser. It is also the core technology in countless other browser automation tools, APIs and frameworks.
  6. actiWate – actiWATE is a Java-based software platform intended to make the test automation process simple and cost-effective for automation of regression testing of web applications. It consists of actiWATE Framework and additional modules. Currently, only one module is released – actiWATE TWA Framework which is a Java-based library. Automated tests use this library for interacting with web applications. actiWATE executes tests without real Internet browser; instead actiWATE Framework emulates Internet browser on its own. actiWATE tests are fully compatible with JUnit and can be run by any JUnit tests runner.
  7. Rational Functional Tester – Rational Functional Tester is a tool for automated testing of software applications from the Rational Software division of IBM. It allows users to create tests that mimic the actions and assessments of a human tester. It is primarily used by Software Quality Assurance teams to perform automated regression testing.
  8. SilkTest –Silk Test is a tool for automated function and regression testing of enterprise applications. It was originally developed by Segue Software which was acquired by Borland in 2006. Borland was acquired by Micro Focus International in 2009.
  9. TimeShiftX –TimeShiftX is a date and time shift testing software that lets you time travel software into the future or past for temporal testing all date and time-sensitive functionality and code such as end of year-month, daylight savings time, leap year, billing, rates, policies, etc. Perform time travel testing without changing system clocks, editing code, or isolating servers.

Regression testing automation FAQ

What is regression testing automation?

Regression testing automation is a software testing technique that utilizes software tools and techniques in testing software after application to be tested has been changed or updated.

What are the advantages of regression testing automation?

Regression testing automation increases our chances of detecting bugs caused by changes to software and application- either enhancements or defect fixes. Regression testing automation also detects undesirable side effects caused always by changing the operating environment like data, operating system, browsers, resolutions, etc.

What are some of the prominent regression testing automation tools?

Here is the list of most popular regression testing automation tools in 2019
1. CloudQA.
2. IBM Rational Functional Tester.
3. Microfocus UFT.
4. Ranorex Studio.
5. SahiPro.
6. Selenium.
7. TestComplete.
8. Tricentis Tosca.
9. Watir.

Why is regression testing automation required?

Regression testing automation is needed to ensure changes in the application do not disrupt currently functioning parts of the application. Given there are tests (e.g. core features, critical functionality) that need to be repeatedly executed in each regression test run, it is required that these regression test cases are automated.

Why regression testing automation is important in Agile software development methodology?

Agile methodology focuses on building a high-quality product, reducing the risk associated with development. Since agile methodology involves frequent changes, it is important to have a regression test automation process for the same

Is regression testing automation part of DevOps?

“Automation” is frequently used in the context of automating a project’s deployment pipeline. Often this is referred to as “DevOps,” or Developer Operations. Continuous Integration, Continuous Deployment, and Continuous testing are all facets of this overarching domain: leveraging regression testing automation tools to quickly test, retest the application changes to eventually deploy into production.


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7 Ways To Increase the Cost-Effectiveness Of DevOps Testing Automation

DevOps testing automation is the key to achieving the rapid delivery, scalability, security, collaboration, and monitoring that allows today’s agile teams to be highly productive.

Testing automation enables businesses to increase efficiency and improve ROI by:

  • Shortening development cycles and implementation time.
  • Reducing time-to-market.
  • Increasing the productivity of business units and IT teams.
  • Lowering cost associated with development and deployment.
  • Streamlining workflow through process standardization.
  • Minimizing human errors.
  • Improving the quality, reliability, and reusability of system components.

However, having the ability to automate doesn’t mean you should automate anything and everything.

Since there’s an upfront investment in purchasing software, standardizing processes, programming automation, and providing employee training, it’s important that you’re implementing testing automation strategically to maximize cost-efficiency and optimize your ROI.

7 Ways To Increase the Cost-Effectiveness Of Testing Automation

Here’s how to get the most of DevOps testing automation:

1. Identify Workflows Involved

Take inventory of all the applications, data stores, and workflows in your development process. Identify common components (e.g., repetitive tasks) to decide which ones are worth investing the time and efforts to set up automation. 

2. Select Processes To Automate

Select workflows that can benefit most from automation. For example, processes that are high in volume, require three or more users to execute manually, rely upon time-sensitive activities, and impact various systems are good candidates for automation. On the other hand, those that require human involvement at multiple decision points and show low ROI should not be automated.

3. Improve And Standardize Processes

The workflows you’re automating should be optimized so it’s as efficient as possible. After all, automating a flawed process just makes a bad workflow happen faster! Upon selecting the workflows to automate, review and fix any inefficiency before setting up automation.

4. Increase Test Coverage Gradually

Start your automation with the simplest workflows and repetitive tasks. Many of them may actually take up most of your testing time so prioritizing them can yield immediate ROI. This will also help you understand how to best utilize the automation software and allow your team to familiarize themselves with the testing tool.

5. Build Test Cases That Isolate Each Element

Create test cases such that each would test one aspect so it’ll be easy to identify what goes wrong when a test case fails. Also, build reusable components instead of bundling multiple tests. You can then reuse the logic in different test cases to minimize the time required to write new test cases.

6. Create Independent and Self-Contained Test Cases

Save time and increase productivity by creating test cases that aren’t dependent on each other so they can be scheduled and executed simultaneously across different environments. Test cases that need to be executed in a particular order can undermine the flexibility and agility of the QA process, which are the inherent benefits of automation.

7. Select the Right Testing Automation Tool

Choose a testing automation software with functionalities that can support all your current workflows and test cases. In addition, identify applications and technologies across the organization that are potential targets for automation so you can maximize the long-term ROI of your investment.

Look for a testing automation tool that:

  • Uses a cloud-based platform to deliver scalable, reliable, and accessible services.
  • Allows you to develop and maintain scripts quickly and easily. 
  • Enables continuous development, continuous integration, continuous testing, and continuous deployment.
  • Provides cross-browser and cross-platform testing in various environments.
  • Allows you to reuse functional scripts for multiple tests so you can save QA time and efforts. 
  • Supports keyword- and data-driven testing.
  • Allows you to manage the complete QA lifecycle, from test generation to detailed reporting, all in one place.
  • Offers 24/7 support, e.g., you can get help from customer service, self-service knowledge base, and user community.


Testing automation is key to lowering cost, improving QA efficiency, and shortening the development cycle. However, you need to plan and implement the process strategically in order to optimize the workflow and get the highest ROI.

In addition, when selecting a testing automation solution, it’s important to keep your organization’s unique circumstances and priorities in mind so you can create processes that meet your business objectives.

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UX and its importance in e-commerce

Two days ago I had to buy a gift for my parents on their anniversary and I was too occupied to roam around in the market or to go and shop in a mall. I quickly checked some cool dresses online for them and got it delivered on that day. It was so easy and the entire process was done in just a few clicks.This is the power of e-commerce. In most straightforward terms, e-commerce is buying and selling of goods or services online. It includes the entire selection process, buying/selling and online transaction for payments. We all are using e-commerce, whether we book flight/train tickets online, buy products online, buy holiday packages online, etc.

E-commerce, in its initial days, was just a complementary medium. But due to its broad reach and open marketplace, it boomed in no time. In the last decade, e-commerce has evolved as a medium not only for e-trade but also for e-banking, e-wallets and diverse form of e-marketing. Now to attract customers and retain their loyalty, companies need to focus on each of their customers and provide them with smooth user experience.

UX (User Experience) is the process of creating a meaningful and relevant experience to the users for selling products and services.

Companies nowadays do a lot of analysis and experiments to ensure that the user gets what they want in minimum time spent on the website/App. As e-commerce is growing, the competition in e-marketplace is also increasing. Nowadays,  UX has become the crux of successful e-commerce websites/apps.

The early birdies like me, who have started using online ticket booking, net banking, shopping and other things in its initial days, would certainly know the difference between then and now. So much has been done to improve the user experience. If we study the e-commerce websites, we will get to know the keys where the focus has been shifted to improve UX. Some of which are mentioned below-

Keys to improving UX

  1. Efficient Search- The essential requirement for e-commerce to be successful is how efficiently it can search for the given product. Search should be fast, relevant and should show other related products if there is no result for the searched item.

    It should be optimized in such a way that the user drop rate is minimum to zero.

  2. Social Feedbacks and customer Reviews- Consider a situation where you have to buy a good cell phone. Most of us would ask reviews of different cell phones from our friends and other sources. This is the most significant factor in decision making. E-commerce companies have studied this factor and are provide social proofs to support the user in decision making.Amazon, Flipkart and many other websites provide customer reviews for each of their products.

  3. Personalization- Websites now use a lot of historical data to analyze what the customer is looking for. Many websites provide “recommended products” to help customers choose wisely. In the backend there is a lot of data analysis done to give the user the choices, they are looking for.

    Many of you would have noticed that when we search something on a particular e-commerce website/app and then close it without buying anything, the next time you browse that website, it shows products related to the previous search. This is personalization. To remember its customer’s choices and use that for optimizing user experience is personalization.

  4. Guidance- This is a recent development in UX. Most of the e-commerce websites/apps are now guiding the customers based on their requirements. Customers have to give answers to some simple questions and companies provide results based on that.Consider an example of Myntra.com, which is an online apparel selling website. It gives style suggestions to the customers for the product they are looking in.

    E-Commerce Item

    As seen in the above image, it gives different looks options to the customers to guide them in their purchase.

  5. Trending- In almost all the e-commerce websites/apps, we can see the trending section where the most popular products are listed. Customers can easily go through the recent trends and make a decision.

  6. Upsell and cross-sell- Upsell is the practice of encouraging customers to buy a high-end product than the one which they are looking for. Cross-sell is a practice to invite customers the related or complementary product.

    For e.g.,- If you are buying a mobile phone, the websites show you the phone covers and other related accessories before checkout. This is cross-selling. While upsell is when you are purchasing an old school phone and websites show you the latest smartphones.upsell-vs-crosssell

  7. Categorization- One of the crucial aspects of selling products online is to categorize them right so that it will be easy for customers to find the products. It saves time and also provides a listing of products of the same categories to compare.

  8. Customer feedback- Customer feedback gives insight for the improvement of product and overall business. Almost every website gives its customers a feedback form after their purchase. This would give them insights about customer experience.
    Customers who have a positive experience are more likely to become repeat customers and it also builds trust between the customer and the company.

  9. Trust and transparency- Trust is the most critical factor to build a loyal customer base for any business. Trust can be achieved through transparency. A business should be transparent in their offerings.This holds good for the entire supply chain. E-commerce success highly depends on the trust between partners and keeps the whole network to be responsible, which eventually reduces business risk. Transparency leads to integrity, loyalty, and sustainability.

  10. Engage re-engage and awards- Engagement of customers is as important as building the customer base. E-commerce websites offer many reward points for purchases as well as many loyalty programs.For e.g.,- Uber, which is an online cab booking company, offers credits to their customers for referring their app to other customers.Re-engage is re-targeting of customers by showing them products of their interest. Customer engagement, re-engagement can be achieved in various ways-
    • Offer loyalty programs to the customers through rewards.
    • Immediately Engage unhappy customers by resolving their issues. Sometimes business follows the strategy of instant gratification to avoid any possible customer drop.
    • Use all the social mediums to interact directly with the customers. For e.g.,-Nowadays the majority of e-commerce businesses have their twitter handles open to accept customer’s feedback and resolving their conflicts.
    • Keeping track of important days of each of their customers like anniversaries, birthdays and other special days. This kind of personalization is fantastic for customer engagement as it gives them a vibe of being treated individually.

Apart from the strategies mentioned above, e-commerce companies are now focusing more on easy to use interface and information processing. A very fundamental thing is to take customers through the entire flow in minimum clicks. They should get what they want in the minimum amount of time. Few notable points are-

competitorApart from the strategies mentioned above, e-commerce companies are now focusing more on easy to use interface and information processing. A very fundamental thing is to take customers through the entire flow in minimum clicks. They should get what they want in the minimum amount of time. Few notable points are-

  1. Usability- defines how easy the customer’s journey is without any unnecessary clicks and flows, time lost in page load, etc.
  2. Intuitive Navigation- The success of an e-commerce website depends upon how well the company can provide the relevant information, brand image to the users at each step. They should know at each page how to go back, forward, the home page, main menu, etc.
  3. Presentation- Presentation of items should be effective. It should have clear images, product descriptions, customer reviews, etc. Check out the presentation of the famous jewelry selling app. It has clear information with an attractive presentation.
    Check Out


4) Accessibility-  This is to take care of different categories of customers like customers with disabilities or with low literacy.

Happy Customers

In a nutshell, e-commerce is a lot more than only selling and buying products and services. It is the overall customer’s experience and journey with the business.

Related Links

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Regression Testing

How To Select a Regression Testing Automation Tool For Web Applications

Regression testing is an essential component in a web application development cycle. However, it’s often a time-consuming and tedious task in the QA process.

Thankfully, you can improve efficiency, streamline workflows, reduce costs, and shorten the development cycle by automating regression testing.

How should you go about selecting the right regression test automation tool? What are some available options in the market? What are the best practices that’d help you get the most out of these platforms?

Criteria For Selecting a Regression Testing Automation Tool 

After you have decided that the duration and scope of a project are worth the upfront effort needed to set up automation, look for key features in an automation tool that meet the project requirements.

When evaluating an automation tool, you should consider:

  • The ability to develop and maintain scripts quickly and easily. 
  • Ease of test execution by non-technical users.
  • Continuous Integration for TFS DevOps integration with builds and deployments.
  • Cross-browser and cross-platform (mobile, desktop, web) testing in multiple environments.
  • Keyword- and data-driven testing.
  • Reliability, maintainability, and scalability.
  • The ability to manage the complete QA lifecycle, from test generation to detailed reporting.
  • Technical support, including customer service, knowledge base, and community.
Automated testing lifecycle

The Most Popular Regression Testing Automation Tool For Web Application

Here are some popular regression testing automation tools, each with its unique features that meet the needs of different projects and budgets:


TruRT’s intuitive interface and the codeless test automation platform is easy to use and offers a variety of features such as integrations, remote test executions, cross-browser testing, data-driven testing, advanced notifications, and comprehensive reporting to increase the productivity of your QA team.

Selenium WebDriver

This open source testing tool integrates with Cucumber/SpecFlow and allows you to write test cases in a variety of programming languages, including C#, Java, Ruby, and Python. It also offers a lot of training and support resources.

Selenium IDE

Record test cases with this Firefox plugin, which is ideal for testing simple web applications since its functionality is rather limited. For instance, it doesn’t support testing for flash video games, music, UI/UX tests or file uploads.


An all-in-one solution for test automation of desktop, web, and mobile apps. Its codeless click-and-go interface makes it easy for beginners and non-technical users to conduct regression testing while its functionalities are powerful enough for automation experts with a full IDE.

Sahi Pro

This tester-focused automation tool is best suited for testing large web applications. It allows you to conduct testing quickly while minimizing maintenance effort. The smart accessor mechanism is designed to ensure that a test script won’t fail even if there are slight changes in the UI.


This platform enables the execution of parallel regression tests using automated builds without any manual intervention. It supports desktop, web, and mobile apps and can be used for GUI testing.

Top 7 Automated Regression Testing Best Practices

After you have identified the right tool for the project, optimize the QA process by following these regression testing automation best practices:

  1. Plan your QA strategy:  Build adequate time into the product lifecycle for testing, decide where QA fits into the process, and consider available resources. E.g., will every user story be tested? What kind of testing strategy will be used?
  2. Identify the test cases to automate:  Test cases that can benefit most from automation are repetitive, needed for multiple builds, hard to perform manually, susceptible to human errors, using multiple data sets, or time-consuming when tested manually.
  3. Test early and often:  Bugs caught early in the development process will have less impact on the project. They are cheaper and faster to fix than those discovered later during production or deployment.
  4. Integrate development and QA teams:  Automation and development teams should be working together seamlessly to reduce churn, minimize miscommunications, and increase the efficiency of the entire development cycle.
  5.  Create quality test data:  Use external data to make automated tests reusable and easy to maintain. To add testing scenarios, you’d simply extend the files with new data so you don’t have to edit the actual test script.
  6. Create tests that are resistant to UI changes:  Set up the tests such that they don’t rely on location coordinates to find objects by providing unique names for the controls. This allows you to create stable test scripts that won’t break due to UI changes.
  7. Coordinate development and QA:  Often times, testing can be done most effectively when conducted one sprint behind the development cycle.  Without such a lag, the code could be too fluid for effective testing and changes could break the automation.


Regression testing automation is essential for today’s fast-paced software deployment processes. It helps shorten the development cycles and reduce the time to market, allowing you to respond to user demands in a nimble manner.

To maximize the effectiveness of your testing process, it’s important to select a regression testing automation tool that meets your project requirements while allowing you to manage the entire QA lifecycle seamlessly.


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Maximize ERP Performance

Keys to Maximize ROI by Optimizing ERP Performance

ERP is a very important aspect of any modern. ERP stands for Enterprise Resource Planning. ERP systems allow businesses to achieve a certain level of automation so that they can maintain business operations, finances, and human resource. It is an outstanding platform where you can synchronize your backend workflow for maximum efficiency and cost-effectiveness.

ERP systems are important and implementing them right is critical. If you are not choosing the right kind of system and the right vendor for your business, you might as well throw your money in a river. There are numerous incidents and reports of failed ERP implementations that led to poor returns on investments for many companies. So, in this article, we will guide you through the basics of ERP implementation and how you can optimize the system to ensure maximum ROI (Return on Investment).

Choose the Right System

The first step of any successful business solution implementation is to choose the right kinds of solutions. When it comes to ERP solutions, you do not need the best solution available, you need the best solution for your business. A lot of business owners waste a lot of money on ERP solutions just because they did not spend the time to choose the right solution. You need to evaluate your KPIs, backend workflow and come up with a solution that is tested to be successful. The purpose of an ERP system is to boost your productivity so it needs to be aligned with your business goals.

Choose the Right People

You can spend hundreds of thousands of dollars on ERP systems and not see any improvement on your ROI. No matter how technologically advanced your ERP system is, it all comes down to how you handle it. If you are not willing to invest in proper workforce to handle your ERP, you will not benefit from even a state of the art ERP system.

Future Proofing

It is always wise to keep in mind that you are aiming for a long term ERP solution. It is very normal if you are in a tight budget. The point is to keep room for future proofing whatever your budget is. As you are implementing a complete business solution, there is a big possibility that you will improvise as you go and this might result in cost overrun. Also, your business will grow over time. As your business grows bigger, you will need more resources from your ERP system. This is exactly why you need to keep room for future proofing. Aim for a higher end system than you might initially need. This might seem like an overkill for the time being but it will pay off eventually in the near future.

Choose the Right Vendor

There are a lot of business solution vendors that will offer you attractive deals and promise to boost your ROI by XX%, but this is not rocket science. If boosting business ROI was so easy, every business would be booming around the world. As a business owner, it is your duty to check the credibility of any vendor. Go through the customer reviews, benchmark against other vendors. Look out for customer support. It is always encouraged to check for second opinions. Ask for estimates from various vendors. Give the green light only after you are certain that the given vendor is the right one for you and they will stick by you for as long as you need them.

Cloud-based ERP

We live an era of the Internet. Everything is available on the internet. Every wise businessman has moved their business to online. ERP vendors are no different. Biggest names in the ERP industry such as Oracle, SAP, and Microsoft have already moved to cloud-based solutions. Cloud-based systems not only save you a lot of storage space but they also save a lot of time in synchronizing all the devices. The main benefit of cloud-based systems is the highly centralized data flow so you don’t have to update each device manually.

Backend Workflow

Understanding the backend workflow is another critical aspect of ERP implementations. ERP will focus on your finances, supply chain, inventory, human resource and so on. You need to understand how your employees perform so you know for sure which systems to integrate and how it will benefit you.


It is essential that you train your employees who are supposed to use the ERP system on a day to day basis. IT department, supply chain department and HR department are the most likely to be impacted by the ERP implementation. So, arrange a training session for them so they can understand how the system works and how they can benefit from the system to boost their productivity.

Be Prepared

Before implementing the new ERP system you are going for, it is safe to assume that you are using some kind of premise-based system to maintain your business needs. To make most of the system, be prepared for the migration. Migrating data from one system to another can be a terrifying task. So, the earlier you are ready, the better it is for your ROI. Complete, accurate and consistent data is key to any successful business software implementation.

Limited Customization

A certain amount of customization is necessary to align any business solution with your specific business. However, you need to make sure that you don’t overdo the customization. You need to limit the customizing abilities to an extent so that the system doesn’t become obsolete. The less customization you do, the easier it is to maintain and upgrade the system in the future.

Who Are We?

Syncoria is a Canada based business transformation expert and Odoo partner that has been providing digital business solutions to Small and Medium businesses in North America for over 14 years. We streamline and integrate your ERP, websites, sales, operations, CRM, POS, inventory, and everything else using Odoo. Because it’s extremely flexible, you can configure your Odoo package to meet your precise needs. Visit us at www.syncoria.com to schedule a consultation any time you like.


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Regression Testing

What Is UI Regression Testing, and How Can You Use it for Your Brand?

There’s a lot of value in stressing the importance of iterative improvement in the software development world. When there are so many things that can be made better, and a host of slight tweaks can result in major performance improvement, it’s vital to keep pushing ahead — and knowing that it doesn’t need to happen in one intimidating leap makes it approachable.

That said, the drawback of iterative improvement isn’t discussed as much as it should be. What am I talking about? Well, think about the game of Jenga. Every time you make a move by removing a block and placing it at the top of the structure, you risk the whole thing collapsing. With iterative improvement, every significant change to your system risks the whole thing.

That’s why regression testing is important. Driven by granular analytics and suitable market research, it allows you to proceed with confidence that you’re paving the way ahead without unintentionally destroying the road behind you (in essence, the core goal is sustainable scaling). But why are updates so risky, what does regression testing (for UI in particular) actually involve, and how can you use it to further your brand? Let’s run through it all.

Regression Testing

Why every update is a serious threat

Imagine that you get version 1 of your website up and running, overcoming various bugs in the beta stage. Everything looks fine, and all the functions operate as they should. You decide to move to version 1.1, and your first point of order is to change the navigation — but when you roll out the change, you realize that your actions have had unforeseen consequences.

The navigation change that you developed happened to conflict with a bug fix that you generated much earlier, and now you see the resurgence of an issue that you thought you’d eradicated. You’re left with two options:


  • Stick with your new change, come up with a fresh fix for that bug, and thoroughly test everything else to make sure that no other issues have arisen.
  • Roll back the change in its entirety, then dig deep into the code while writing a replacement to confirm that it won’t cause any problems.
Either way, you’re required to do a lot of testing — and as your system gets more complicated over time, gathering up new modules and patches, there’ll be more at risk whenever you make a change. You don’t want to end up feeling like a late-game Jenga player, fingers trembling as you approach a move that will surely send the whole tower toppling down.

What regression testing involves

Regression testing, in general, is the process of reviewing software to ensure that it can still do everything it was ever designed to do. Unlike standard testing, it doesn’t test only the latest functions — consider it the equivalent of a full-body physical.

This is essential since software relies on both the new and the familiar, with the basics mattering as much as the freshest and most sophisticated features. When something low-level breaks, it has a cascading effect that disrupts everything around it — and everything built on it.

In practical terms, regression testing involves a host of practical tests based on all the intended functions of a system. For instance, one test may be “Convert a file from format A to format B” using a provided conversion form. Another could be “Return a set of products based on user-selected parameters” using a dynamic filter.

Can these tests be carried out manually? Yes, but they shouldn’t be. Think of how many tests of this kind might apply to a substantial website (hundreds, or even thousands), then think of running through each one for every update (possibly on a weekly basis). It’s precisely the kind of work that should be automated, so it is automated wherever viable.

And what of UI regression testing, specifically? UI regression testing is about the end-user experience. The testing isn’t about internal operations, but about the various ways in which a user might interact with a system. Tasks might be things like “Locate product X from the homepage” or “Submit a support ticket”. Automating this type of testing is all about simulating real-world use cases — interacting with websites and utilities much as people do.

How to use UI regression testing for your brand

Becoming a top digital brand, and maintaining that position, is all about keeping up with the times: changing the features you offer and the interface you provide to meet shifting standards and stay ahead of the competition. As noted, this produces a heavy testing workload: when you submit your fresh website design, you can’t risk breaking something vital.

That’s why you need to be using batteries of UI tests to check the health of your website’s interface on a regular basis — and this is what CloudQA’s TruBot was designed to accomplish. Needing no programming skills, you can create testing scenarios for bots to carry out. Simply record the test procedure from the perspective of a user, then carry the steps across.

Bear in mind that it’s useful to carry out UI regression testing even if you don’t update your website frequently. This is due to the influence of SaaS and integrations. If one of the platforms or services your website runs on is updated, or a system your website is integrated with breaks (an Instagram UGC feed, for instance, might break following an API update), then you can be left with a UI that doesn’t work correctly.

The more money you have riding on the reliable performance of your website and software, the more important it is that you carry out UI regression testing on a semi-regular basis. The faster you identify problems, the faster you can address them, and the fewer support tickets you’ll need to deal with.

Automation Testing

Selenium alternatives everyone is talking about - Choose wisely!

What is Selenium?

Selenium is a suite of web browser automation tools to automate browsers across a range of platforms. Even though it’s capable of much more, Selenium tools are used to automate web apps for testing reasons. Jason Huggins created Selenium in 2004 as an internal tool at ThoughtWorks, and for the past several decades, selenium has been a popular automation testing framework.

Selenium provides a playback tool for authoring tests without the need to learn a test scripting language. It is composed of respective components with specific role assists. You may have heard of these:

  1. Selenium RC (RC for Remote Control)
  2. Selenium IDE (IDE for Integrated Development Environment)
  3. Selenium WebDriver
  4. Selenium Grid
Selenium RC was a storm as it allowed the developer to control a browser with a software language of user’s choice! You can go codeless with Selenium or get trapped by the problems it brings to your testing automation. Wait, where did that come from?
Automation Testing

Is Selenium actually a good tool for test automation?

Apple, eBay, Microsoft, Google – these companies chose to work with Selenium from the very beginning. However, let’s talk about the apparent problems that your company can face when working with Selenium. As one of the most popular tools, it has its pros and cons. Let’s concentrate on its cons first as we are talking about the alternatives here.

Disadvantages of Selenium

  1. Skills. It is impossible to make any automation progress if you don’t have skilled developers in your team. If you don’t have someone who can write the automated tests, you can’t improve your automation progress. This problem occurs especially if you’re a small company. In this case, it wouldn’t be cool to make developers write tests.
  2. Lack of knowledge. Often there is not much support for all your questions in the online communities and solving a problem can become a time-consuming process. As an example, support for Selenium using Python is not as broad as Selenium using Java. What are you going to do when the new libraries and updates break the existing tests in your test library?
  3. Time-consuming test cases. Selenium WebDriver has only a programming interface. Your team will have to spend some extra time writing steps for every task.
  4. Difficulties with setting up the test environment. Selenium uses various tools and plug-ins that support test automation. You will have to configure them manually (for instance, if it’s a vendor tool like UFT/QTP, you download and install the tool).

Selenium alternatives to keep in mind

With such a long list of the challenges you can face if you choose Selenium, it is a great idea to consider working with an alternative. You may ask yourself: are there any good Selenium alternatives that do not come with the same challenges? Great news – the answer is yes. Selenium is an open-source tool and some free options may work out as alternatives. However, they may not be the ideal ones.


It is a known fact that Selenium tests are not steady and break from time to time. When new Selenium libraries are introduced, your prior tests become susceptible to breakage. So what is the right Selenium alternative? CloudQA is a platform for automation testing and monitoring. It is built on top of Selenium, but the platform gives you the ease and flexibility right from the stage of recording the test case, tuning it, adding assertions, etc. CloudQA has expanded the capabilities of Selenium and provides you with:

  • Data-driven testing
  • Smart Record & Playback testing with screenshots
  • Random data testing
  • API testing
  • Performance monitoring metrics for workflows of any complexity
  • Configurable features monitoring
  • Detailed test reporting
  • Real browser support – Chrome & Firefox
  • Out of the box 3rd party integrations (Slack, PagerDuty, etc.)
Selenium is a robust tool to automate web applications. However, it is not easy to configure. With CloudQA, you get an out-of-the-box solution to support even the most complex web applications developed using JS frameworks like Angular, Ember, React, Backbone, Knockout, Express, ++. Test automation using native Selenium is a big challenge with these modern web technologies.

Katalon Studio

The Katalon Studio is the best option if you’re looking for a free tool with a wide choice of features. All frameworks, ALM integrations, and plugins are included in a single package for Windows, macOS, and Linux. With Katalon Studio, you get substantial technical support because there are 350K+ automation testers with YouTube channels, GitHub repositories, and Udemy courses dedicated to it. The interface is quite friendly so that you can run your first tests in a few minutes after the installation. Nevertheless, there’s always a “but.” Unlike CloudQA where even a non-technical person can create and run tests, working with Katalon requires some technical skills and knowledge.


It’s another codeless Selenium test automation tool. It provides you with some cool features like Security Testing or Requirements-based Testing, but if you need Test Script Reviews, you won’t find it here. TestCraft customers mention that sometimes random errors appear and they have to refresh the page which is time-consuming. Instead of working on the product’s problems, customers have to solve the problems with a testing tool.

Still Not Sure If Your Company Needs CloudQA? Read this!

Let’s schedule a brief call to discuss the benefits that only CloudQA can offer your business. Drop us a line and we’ll be happy to customize a short demo just for your case. In the meantime, see for yourself why businesses like yours choose CloudQA. Download our free whitepaper and read about the Challenges of testing Single Page Applications with Selenium.

How about you try before you buy? Click here to try CloudQA for free!

Artificial Intelligence

AI in Testing: The third wave of automation

The evolution of agile methodology enforced the enterprises to innovate and deliver at lightning speed. While delivery cycle time is decreasing, the technical complexity required to deliver positive user experience and maintain a competitive edge is increasing—as is the rate at which we need to introduce compelling innovations.

To meet the continuous integration and delivery needs, we have turned to continuous testing backed by automation but how do we test when these trends continue and gaps widen? As this is the time of digital transformation, we need Digital Testing to meet the quality needs of future driven by AI, IoT, robotics and quantum computing.

If we look at how testing practices changed over time, till 2018 it was focused on CI/CD, scalability and continuous testing.

Evolution of automation testing

Now the expectations from testing are more about real-time risk assessment. To cope up the testing expectations in current scenarios,  Artificial intelligence (AI), imitating intelligent human behavior for machine learning and predictive analytics, can help us get there.

Beyond Continuous Testing

If we analyze the journey since agile came into the picture, it has completely changed the way applications are delivered. Before agile, there used to be a release in a month or sometimes more than a month. With agile companies are aligned to have a two- weeks sprint and make a release in two weeks. To meet this, Continuous Testing came into the picture where automation suits were developed for regression and sanity testing. This supported quick deliveries and fast-paced testing cycles.

Now as the world is moving towards Digital transformation, the pressure to anticipate market requirements and build a system which is predictive and scalable enough to cater to future trends, going beyond continuous testing is inevitable. Testing will need additional assistance to accelerate the process. AI, imitating intelligent human behavior for machine learning and predictive analytics, can help us get there.

What is Artificial Intelligence?

Lets first understand what does artificial intelligence mean. Forrester defines AI as-

“A system, built through coding, business rules, and increasingly self-learning capabilities, that is able to supplement human cognition and activities and interacts with humans natural, but also understands the environment, solves human problems and performs human tasks. “

In simple words, AI enables machines to learn through data giving them the capability to make a decision. The algorithms are not written to solve a particular problem rather they are designed in such a way to enable the system to make a decision based on data.

How AI can be used in software testing?

Using AI and machine learning to automate-

a) Unit tests – Unit testing is very important to make sure that the build is stable and testable. With AI-powered unit test tools like RPA, a developer can get reduce the flaky test cases and maintenance of unit tests.

b) API testing- API testing saves time and effort by getting into the root cause of the issue. The problem with UI tests is that they are not reliable anymore as UI keeps changing in agile, while API tests give a deeper insight into the application and directly hit the root cause of an issue eventually making the application more robust.

There are many tools which are using artificial intelligence to help take the complexity out of API testing by converting manual UI tests into automated API tests, lowering the technical skills required to adopt API testing and helping organizations build a comprehensive API testing strategy that scales.

c) UI testing- The first step in automation is to convert manual UI tests into automated tests. There are tools which leverage AI to run the test cases on multiple platforms and browsers and also learn from the functional flow, reducing the maintenance effort and making testing more reliable.

Some of the most popular tools are mentioned below-

AI Powered testing tools- There are various testing tools which are using AI, though not harnessing the best of AI, they are still able to help testers a lot-

1. Applitools-  It is an AI-powered visual testing and monitoring tool that can run tests on different browsers and platforms. It uses AI to identify the meaningful changes in UI and also identify them as bugs/ desired changes.

It also leverages ML/AI-based for automated maintenance (being able to group together similar groups of changes from different pages/browsers/devices)

2. Testim- It leverages machine learning into the most critical part of automation which is execution and maintenance of tests.

3. Sealights-  Sealights uses AI and machine learning to analyze the code and run tests which cover the impacted area. It can be any kind of test- unit, functional, performance, manual, etc.

It provides a useful insight ‘Quality Risks’ which focuses user efforts on the things that matter by letting him or she knows exactly which files/methods/lines have changed in the last build that wasn’t tested by a specific test type (or any test type).

4. Test.AI- Test.AI is building as a tool that will add an AI brain to Selenium and Appium. It was created by Jason Arbon, co-author of How Google Tests Software and the founder of Appdiff. Tests are defined in a simple format similar to the BDD syntax of Cucumber, so it requires no code and no need to mess with element identifiers.

  • AI just like a real person, IDENTIFIES the screens and elements in your app.
  • AI EXECUTES user scenarios—test on-demand whenever you’re ready
  • AI RECOGNIZES elements so that even if things change, your test doesn’t break.

5. MABL- Like the other AI-based test automation tools, MABL can automatically detect whether elements of your application have changed, and dynamically updates the tests to compensate for those changes. You just need to show the workflow that has to be tested and MABL does the rest.

6. Retest- Retest propagates an innovative testing approach, which is a combination of “intelligent” monkey testing and “difference testing” and works actually more like a GUI version management than conventional testing.

This tool does Monkey testing whereby the monkey( is called Surili) is artificially intelligent and can be trained by users by capturing user actions.

7. ReportPortal- ReportPortal, as the name suggests, is an AI-powered automation tool which focuses more on report analysis and management. As per its website it-

  1. Manage all your automation results and reports in one place
  2. Make automation results analysis actionable & collaborative
  3. Establish fast traceability with defect management
  4. Accelerate routine results analysis
  5. Visualize metrics and analytics
  6. Make smarter decisions together

8. Functionlize- Functionlize provides an overall solution for seamless automation with less/no efforts in maintenance all with the help of AI. Its AEA tool finds and fixes the broken test scripts thus eliminating the manual maintenance.

Functionize uses machine learning for functional testing and is very similar to other tools in the market regarding its capabilities such as being able to create tests quickly (without scripts), execute multiple tests in minutes, and carry out in-depth analyses.

It also gives scalability to test suites by maintaining them in the functionlize test cloud.

Challenges of AI in Testing

The machine learning process is completely dependant on the data thus leading to a large volume of the dataset. AI model test scenarios should be equipped to identify and remove human bias which often becomes part of training and testing datasets.

There is a lack of awareness about AI and Machine Learning process and proper training is required to the testers.

AI Testing in 2020 and beyond

As we have progressed from a linear waterfall model to agile, the future is all about AI and machine learning technologies. As a tester, we need to be upfront and start digging more about the various aspects of AI, take the hands-on in AI-powered tools and utilize them.

There are so many places where AI has already paved its way whether it be chatbots or Amazon’s Alexa, we need to be very keen about how we are going to the device out test cases to test such applications and deliver quickly.

With the increasing demand of AI-powered testing tools, testers might need training at earliest. Having advance knowledge of AI and its applications will be very helpful.

Mobile Testing

Differences Between Testing Web And Mobile Apps

Functional testing of a system application, for example, a company’s network is different from testing a mobile application with thousands, if not millions, of users. Testing mobile applications involve testing many configurations and therefore taking several steps. It is vital to test your mobile app before launching it in the market. This can determine the success or failure of app development. In this article, we discuss the differences in testing mobile and web app.

We found that the contrast is mainly in different requirements, testing methods and the necessary tools.

The distinction between mobile and web application testing

  1. One of the most obvious differences is that mobile apps are designed for more users, more diverse devices than web apps.

    Although the differences between these two categories of computers are diminishing as more and more web applications become available in mobile formats, the complexity of mobile applications is constantly increasing with the complexity of the functions that mobile devices must support. The mobile application can work on multiple devices, including a smartphone, tablet, locking system or fitness tracker.

  2. Web browsers have been created stationary.

    While mobile applications must always perform computing functions on the go, web applications typically focus on desktop operations or fixed handheld with common functionality of Wi-Fi router, cursor, and mouse that is less involved in mobile applications. When testing web applications move to test mobile applications, the task is consistently expanded. Testing mobile applications should address several different functions in relation to several different environments. For your quality Android app, you should contact mobile app development companies to hire dedicated developers.

    Increasing user interest and attachment to mobile devices has led Quality Assurance (QA) to check applications for: 

    • constant communication
    • notification management
    • multi-platform sync 

    Moreover, more important than goals, objectives, and planning is the client. Thus, software testing is a task of coordinating and ensuring the level of functionality of mobile devices which will take into account customer requirements and preferences.

Technical challenges

Differences between mobile and web testing:

  1. Storage limitations (RAM).

    The RAM of many mobile devices is still less than 4 GB as well as relatively small 16 GB SSD. This creates severe limitations for RAM and storage capacity for testing, especially with regard to the enormous amount of memory and storage available to any modern web browser. In addition, services such as advertising platforms can seriously slow down your mobile browser, so transferring your web application to your phone or tablet can be difficult.

  2. Different interactions for different users.

    Interactions for computers and laptops have been stabilized for over 30 years – the mouse and keyboard are the standards for everything from working on Facebook to flash games. This constitutes the features of web application testing.

    The problem with mobile applications lies in a wide range of sensory actions – scrolling, pulling, voice capabilities (Siri and Google Now). Innovations on specific devices such as an audio set for iPhone or the Samsung headsets that use hand wave gestures add complexity to testing iOS and Android apps.

  3. Individual application types.

    The desktop web application is developed in HTML, CSS and JavaScript with some options depending on which platform the developer wants to use. Mobile applications are not that simple. They can be created as native Java or Objective-C applications, or hybrid. It is very important that a roadmap is developed for the platform to manage all types of testing.

  4. Behavior with and without the internet.

    A web application running on a Mac or PC will be useless without an Internet connection. This is the same for the mobile web application. However, a native or hybrid mobile application may have autonomous functions. Some games can be played without connection, and document editors can also save functionality in flight mode. You need to check how mobile apps behave when switching between connections or using unstable networks. This will help to test android applications, as well as iOS and web applications with higher quality.

    Of course, there is some overlap between web and mobile apps. Many mobile applications are partly related to web applications, and testers follow some common test patterns in a flexible development cycle. Availability of test management software is a key building block since you formulate a common testing strategy and pay attention to incorporating a wide range of workflows, resources, and possible problems associated with both mobile and web applications. For your quality Android app, you should contact mobile app development companies to hire dedicated developers.

Types of testing

It is important to note that manual testing, like automated testing, plays an important role for QA. A tool can save a lot of time and facilitate the process, but not all test processes will do without human participation.

Automated testing is used for:

  • module and library testing
  • UI / UX matching
  • API

Do not forget about testing web application security. It provides a comfortable work for customers and eliminates the processing of bugs after the release of applications.

Testing your Android mobile app is a key factor in order to get a great product. Top mobile app development companies should be attentive to any details and understand the importance of proper functioning of both web and mobile applications. They can help you test android applications or iOS at a high level. For your quality Android app, you should contact mobile app development companies to hire dedicated developers.

Author Bio:

Melissa Crooks is Content Writer who writes for Hyperlink InfoSystem, a mobile app development company in New York, USA and India that holds the best team of skilled and expert app developers. She is a versatile tech writer and loves exploring latest technology trends, entrepreneur and startup column. She also writes for top app development companies.

Robotics Automation Testing

How Robotics is Going to Change the Field of Automated Testing?

Robotics Automation Testing

It’s quite staggering to think about just how much testing needs to be done across the world on a daily basis. It’s a natural consequence of the overwhelming pace of technological development, born of unprecedented scale and complexity — just consider how sophisticated the average smartphone is relative to a comparable item of just a decade ago, and how hard it is to get things done these days without powerful software tools.

This has given rise to the automated testing industry: the ongoing pursuit of using yet more software to make the design and implementation of testing procedures as easy and efficient as possible. Today, if you’re preparing a customer-facing program for release, you don’t need to manually run through every last element — you can use a cloud service to simulate customer actions and rapidly get the data necessary to make final changes.

But a lot of automated testing is still built from scratch, with sequences set out and only repeated rote with any decent speed. Robotics greatly expand the possibilities. Essentially, they can generate and execute overarching macros regardless of the system. How is this going to change the field? Let’s take a look at the broader impact robotics are likely to have:

They’ll make it easier to operate across systems

Disparate pieces of software typically rely on APIs to communicate. Essentially, they translate each program’s language into a common language that can be easily used by other programs. This is important for testing because many everyday procedures in the modern business world rely on APIs for multiple applications being used in combination.

But having to mess around with APIs isn’t ideal. It requires you to connect your testing tool to each and every program that plays a role in the process you’re trying to record — if it can’t connect to even one of them, it will leave a gaping hole in the chain that will almost certainly prevent it from serving the desired role.

A robotic testing setup, however, can imitate how a human interacts with software, using GUIs (not seeing them, as such, but still being able to navigate them) to execute actions. This means that any program is on the table, regardless of the presence or quality of an API — which means it will be so much easier to test hyper-complex processes.

They’ll introduce NLP-parsed test creation

An alternative title for this point could be “They’ll make testing tools intelligent”, but that’s a contentious claim, so I prefer this one. This is likely to be the most impactful change overall. Testing procedures currently need to be established with meticulous attention to detail, because programs aren’t capable of simulating how humans assess things — but progress marches on.

Using machine learning, it will (sooner or later) be possible for a testing program to take a set brief and generate an appropriate testing process without anyone needing to get manually involved. For instance, you could issue the command of “Check that the customer registration form is functioning correctly” and see the utility work from there. There may be some pseudo-creative elements, but for the most part, it will about drawing from a library of preset testing routines and adapting them to suit.

NLP (natural language processing), of course, is necessary for the very first step: gleaning from the brief (and the context) what the purpose of a particular test is, and what specific elements need to be tested. There will likely come a time when someone can tell their voice assistant to check a particular system, and everything following that will be handled for them — this is already a common feature in industries from ecommerce (Shopify’s ecommerce suite has the Kit assistant) to fintech (Capital One’s banking service has the Eno assistant).

They’ll destroy some jobs, but create others

As nice as it is in some ways to envision this industry of hyper-convenience, it’s also worrying for some, because they imagine the automation wave as more of a cudgel that will beat countless job types into obsolescence. Admittedly, it’s entirely true that automation testing will make some jobs redundant (a product quality tester can’t realistically rival the efficiency and reliability of an automated testing service), but it will also create jobs.

Why? Because automated systems can (and do) go wrong. Updates break things. Code systems get out of date. Framework errors go unseen. And the “smarter” we make automated software, the more opaque its functionality will become. What exactly will it mean when such an application states (using an approximation of human assessment) that something is fine?

To keep this technology in line, the world needs people with skills in the AI field. It needs people who can manually test the automated testing systems — digging into them and vouching for the results they produce so that everyone down the line can feel reassured that they didn’t exclusively accept the conclusions of an algorithm.

The robotics field is affecting everything at the moment, but automated testing, in particular, stands to change hugely because it’s massively important and ripe for machine learning in a way that few other pursuits are.

In the coming years, expect to see more companies automating their testing, software becoming capable of spontaneously generating tests, and the job market moving away from unskilled labor but just as strongly towards professionals with AI-relevant skills.

Software Development

Beyond Agile: Reorganizing It For Faster Software Delivery

Software Development

Nearly 40 percent of software development companies cite hiring new talent as one of their biggest challenges. Having the right time is just the first step in making a software development firm successful. Adequately managing the team you have in place is an essential part of getting software built and deployed in a hurry.

For years, developers have used the Agile methodology to make building software easier and more efficient. The methodology uses concepts like collaboration and continuous delivery to make developers more productive.

Are you curious about how to make Agile work for your developers? If so, check out the helpful tips below.

Start By Providing Developers With the Right Tools

One of the biggest mistakes business owners usually make during a software development project is failing to provide their team with state-of-the-art tools. Trying to make your team write and test code on laptops is a bad idea. In order to succeed in the world of Agile, you need lots of quality hardware.

Providing your team with things like large monitors, powerful PCs, and ergonomically designed keyboards is a must. With these tools, you will be able to see a noticeable difference in how fast developers are able to work. High-quality tools can also help you keep developers happy, which can go a long way when trying to speed up the software building process.

Getting Results Should Be Your Main Priority

The cornerstone of any successful software development project is creating a results-driven environment. In the early days of Agile, companies created software by using the bottom-up methodology. Business owners quickly realized that getting results with this methodology is quite difficult.

Allowing upper management to set the parameters and goals of a project is essential. With this information, developers can figure out what they need to do to deliver results. Using project management software is important when attempting to track what developers are doing. If you notice that projects are not being completed on time, you need to find a way to nip this issue in the bud before it leads to bigger problems.

The Power of Continuous Delivery

Using the continuous delivery model throughout the software development process is also a good idea. Keeping your developers working at a constant pace can help you get these projects completed in a timely manner.

Having success with continuous delivery will require you to put an emphasis on testing throughout the development process. Failing to test every piece of a new program before it is deployed can lead to serious problems in the long run. By testing throughout the development process, you can provide users with a higher quality product.

While testing will take some time and effort, it is well worth the energy you invest. Using the Python logging can help your team discover errors with ease. Find out more about this practice by reading an insightful article to Python logging basics.

Automation From Start

You Need to Use Automation From Day One

As any developer will tell you, building software requires a lot of repetitive tasks to be performed. One of the best ways to reduce the number of repetitive tasks your team has to perform during this process is by using automation.

There are tons of programs that allow developers to build templates that can be used during various stages of the software development process. While it may take a while to get used to this automation, it will be worth it in the long run.

Work on Reinventing Agile to Fit Your Needs

Constantly reviewing and optimizing the process used to develop new software is important. Taking an objective look at how developers are handling the tasks assigned to them can help you customize the Agile methodology to fit your business.


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If you are a tester, then you must have had a discussion around automated or manual testing. This is nothing new, and lots of techies have different views around this.  Whether you are a big team and already established an automation framework or you are a small team, new to automation, it is always necessary to keep this balance right in order to get maximum efficiency.

Surely automation testing is having the benefits of increasing efficiency, getting faster regressions and thus contributing to timely project deliveries.  It also removes the execution of repetitive test cases or regression cases manually and saves a tester’s life.

But before considering automation, there are certain points which you should evaluate.  You must have heard a statement “You can not automate everything” which is very true.

Manual testing is required in many cases.  In fact the biggest drawback of manual testing itself is its biggest advantage that it requires human intervention! There are certain cases which require human instinct and intuitiveness to test a system.  To name a few, these are the following cases where manual testing plays a vital role-

  1. Usability Testing- This is testing an application in the view of how easy or difficult is it to understand.  This is to test how interactive the application is to the users who are going to use it.  These kind of tests can not be automated and must be performed manually.
  2. UI and UX Testing- UI and UX testing can not be automated and even if you try, it would be only to some extent.Automation scripts can be used to test the layout, css errors and html structure but the whole user experience can not be automated as it is very subjective.
  3. Exploratory Testing- Cem Kaner who coined the term in 1984, defines exploratory testing as – “A style of software testing that emphasizes the personal freedom and responsibility of the individual tester to continually optimize the quality of his/her work by treating test-related learning, test design, test execution, and test result interpretation as mutually supportive activities that run in parallel throughout the project.”
  4. Ad-hoc testing- This is completely unplanned testing which relies on tester’s insight and approach.  There is no script ready for this testing and has to be performed manually. 

Pros of Automation Testing

There are certain cases where automation testing is beneficial and can actually reduce the efforts and increase productivity. Let’s have a look-

  1. Regression Testing Regression cases are mostly repetitive and we can automate them once and execute in a timely manner.
  2. Load Testing Automation is very much useful in case of load testing. Load testing identifies the bottlenecks in the system under various workloads and checks how the system reacts when the load is gradually increased, which can be achieved by automation.
  3. Performance Testing- Performance Testing is defined as a type of software testing used to ensure whether software applications perform well under their expected workload. Automation is very useful in this type of testing.

Apart from that, the test cases which are repetitive, can be automated. Keeping in mind the above points, you can decide on what, how and why of automation.

What, Why and How of Automation- To maintain a balance between manual and automation can be very tricky at times. I have seen many aggressive managers pushing to automate everything.  But is this the best approach?

Before starting to automate, you need to answer these three questions-

1) What needs to be automated?

Let’s first think of what exactly needs to be automated. Here by ‘Exactly’, I mean what part of the ‘requirement’/ ‘feature’/ ‘application’ is a candidate looking for automation.  Often the application which is going to be automated is termed as AUT (Application Under Test ).  It is quite possible that a part of a feature can be automated and the rest be tested manually.

This requires deep-dive into the feature, it’s test cases and effort which will be required.  Sometimes knowing how developer is going to implement that feature plays a vital role in deciding if it can be automated and to what extent.

2) Why automation?

This is very important.  Why you need to automate? Is it because it reduces effort and increases efficiency? Or is it because it would benefit in long run? Or is it just conventional? During my tenure as QA I found some managers who aggressively wanted everything to be automated without analysing that it might increase effort and reap no fruit.  You might end up asking a few questions to yourself-

  1. Is it a one time requirement and never coming in future? we probably don’t need to automate then.
  2. Is the automation solution complex? Also you need to understand the complexity of an application under test.  If automating it leads to building a parallel application itself, there is no point of automation.
    But there can be a case where the solution is complex but the feature or AUT keeps on changing and development is planned for long term, then you may find automation beneficial in long run.
  3. Time constraint- There might be a time constraint in delivery. At that time manager’s role is very crucial in deciding to invest in automation or go for manual.
  4. Resources and skills of Testing team- This is also an important factor. How many automation engineers are available in the testing team to leverage their bandwidth for AUT? Mostly, for small teams this is the deciding factor to go for automation.

3) How to automate?

This refers to find the solution. The Why and How are co-related. So you might find answering How and get answered for Why and vice-versa.

HOW is to decide how we are going to automate AUT.  Do not confuse with AUT or feature as this stands for both if you are going to automate entire application or a small feature.  Sometimes for a small application you need not require a full fledged automation framework.

There are various tools available which don’t require coding and can solve the requirement.  For e.g. Test Recorder from CloudQA is one such tool which has many handy tools for different types of testing and is very user friendly for small applications.

Apart from that, there are various requirements which can be catered by simply writing a shell script.

A full fledged automation framework is required when AUT is big and there are continuous enhancements going on.  At that time, a regression suit can be executed before each feature release and automation can significantly reduce the effort.

Automation framework development requires both coding skills and time, so before jumping into that,a tester should always analyse the ROI (Return On Investment) and then make a plan accordingly.

Also automation gives a sense of confidence that there is maximum coverage of regression tests and existing features are not broken because of new feature addition.


Let’s conclude that either only manual or only automation is not the right approach.  There should be a balance between both and I hope that above points will be helpful in finding the right balance.

Kick start automation of your application

Moving manual testers to DevOps chain


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Talk to our Test Engineers

Moving manual testers to DevOps chain


Testing Tool

Better QA: Learning from unit testing standards

“Unit Testing” is a tricky affair. I am pretty sure that testers at some point in time would have complained about the developer not doing unit testing properly and delivered a poor quality build.

Selenium Node Container

Selenium 4 Alpha- What to Expect?

If you think that testing automation engineers are the only people in the world who should care about the major update of Selenium, you’re wrong.

Automation Detailed Analysis

Test Automation in Production Environment

This article deals with the automation strategy and implementation in the production environment. As an automation engineer, we set up the test environment as a part of the automation life cycle and run scripts on that.


Real User Monitoring vs. Synthetic Monitoring: which one’s best for you?

Every online business owner has woken up in cold sweat from this nightmare at least once in their life: you see your perfect customer, they are in their office, it’s after-lunch hours, and they are entering your website ready to spend a few hundred dollars. But… your website isn’t loading. They get a 503 error, close the tab and flash-forward 3 minutes later, they purchase from your competitor and forget about your existence. 

What could have saved you from losing a client?
“Web performance monitoring!” – we say. 

But which type of performance measuring would work best in your unique case: synthetic or real user monitoring? Let’s learn more about both and decide!

Definitions of User Monitoring

To start off, both RUM and synthetic monitoring are designed to make sure your web application doesn’t crash, there are no errors, the pages load fast, and all the user scenarios work as planned. But what are the differences between the two?

How Real User Monitoring works

Real user monitoring is considered to be passive monitoring, which basically means that you set it up once and wait until your users do all the work, and it relies entirely on the user interaction with your product.

The mechanics of RUM are fairly simple: You can insert a JS code that collects and reports all the page load data every time an end-user makes an interaction.

And the biggest secret is hidden right on the surface of the name “real user monitoringwill only collect the data from the real user sessions. Meaning, you can only do it when you have incoming traffic.

How Synthetic Testing works

Unlike RUM, synthetic monitoring doesn’t require any real website visitors to perform the tests.

Instead, you will use automated synthetic testing tools like TruMonitor to run the scripts that will simulate the behavior of a real user. The scripts will follow through the scenarios that take place in real life and revisit those paths once in a while to ensure that everything works correctly.

The biggest advantage of synthetic monitoring is that you don’t have to wait until the users run into an error, experience long loading times or get mad about a glitchy UI element since the scripts will detect and report such deviations long before you even have any users on your website.

Pros & Cons of RUM

Advantages of RUM

User Perspective

RUM lets you see the issues appearing from the end-user perspective. You want to know what the end-users go through — you do the real user monitoring. And since you count on the real users to do all the job, there won’t be a need to determine the user cases — the JavaScript code will notice and report the appearing errors anyways. 

Not having any sort of monitoring on your website also may cost a lot of money in lost revenue once you start with the user acquisition: no one wants to use a laggy website.

No Lost Reports

Every entrepreneur or web developer knows the most valuable thing they can get from their clients is feedback. The problem with that? On average, less than 1% of the users, who encounter bugs, unexpected status codes or any other sorts of troubles with the page performance, actually end up reporting those errors.

Luckily, the solution is easy: implement web testing tools to automate the process, and get your reports anyway!

Focus on the Real Issues

We all know that there isn’t such a thing as a website without bugs. Sometimes it’s going to be so many issues you’ll have to take care of, it becomes overwhelming!

RUM, and the fact you’re getting all the reports on the issues your users really encounter, and you know exactly how they happen, will help you prioritize the most important problems and focus on those that can potentially cause the biggest losses for your business.

Disadvantages of RUM

Traffic-driven approach

RUM will work only in case you’re getting enough traffic. Otherwise, you won’t get to know about the problems even if they exist.

This disadvantage of the real user monitoring approach can be a real dealbreaker for the projects on pre-production stages that want to figure out if there are any bugs with their product that need fixing before the users notice them.

So, if you’re working on a brand-new website for a client, or about to launch your startup’s beta, and don’t yet have any traffic, RUM won’t work for you.

Pros & Cons of Synthetic Monitoring

Advantages of Synthetic Monitoring

Proactive Approach

Since synthetic monitoring doesn’t require having any real traffic, it gives you a huge leg-up: using this approach, you get to fix the issues before they appear in real life conditions.

The constant reruns of the user cases in synthetic monitoring are crucial for the businesses that have to be working like a Swiss watch 24/7.

And, of course, what can be better than that feeling when you get to fix your mistake before anyone even sees it?

Third-party Apps Monitoring

Unlike RUM, synthetic testing also gives you an opportunity to monitor the performance of the third-party apps, APIs and microservices that you use on your website.

The capacity to do this may become especially important for eCommerce websites that often heavily rely on third-party add-ons, shopping carts, and payment modules.

Using Benchmarks

Setting up the baseline measures and comparison benchmarks allow you to not only see the errors in the user journeys but also detect the slightest changes in the web performance.

There are many things that can change once you have a living web application on your hands. You decide to move another server, or change a hosting provider, or add a little plugin that ends up slowing down your whole website. Things happen! And often, the slightest changes go unnoticed. But not with all the data the test automation tools can gather and make it possible for you to revise.

Disadvantages of Synthetic Monitoring

Predictable Environment

Sometimes it is considered that synthetic testing has one major weakness: the scenarios this approach takes into account follow the specific scripts, while the user experience in real life can significantly differ from those scripts.

But what seems to be a severe accusation on paper, is not always a thing to worry about in real life. Just think of this: how many web apps are out there which use such complicated user paths that it’s impossible for the engineers to think of all the test cases they need to monitor?

The answer is — not so many.

For all the rest, synthetic monitoring will be quite easy to set up and maintain. And definitely will be more than enough in terms of simulating the user journey.

Synthetic Monitoring Vs. RUM: which one to choose?

In most articles written on this topic, you will see advice to use both of these methods simultaneously.

And we think it may be a good idea if you have enough resources to pull off both these monitoring methods. But to make the decision easier for those who’d like to pick just one we made a list of reasons to choose synthetic monitoring over RUM:

  • Doesn’t require real traffic
  • Scripts continuously go over the test cases
  • You get to fix page performance before users notice something was wrong
  • Proactive approach
  • Supports third-party application testing
  • You’ll be able to monitor the crucial measurements
  • You can set and compare the benchmarks

How CloudQA helps businesses implement Synthetic Monitoring

At CloudQA we’ve created TruMonitor — a tool that helps you get started with synthetic monitoring in a blink of an eye.

TruMonitor is a low-maintenance data-driven tool that supports complex user flows, let’s you create and customize them with minimal efforts, and provides you with real-time data and reports.

We know how hard it’s sometimes to get started with something that seems new and somewhat complicated and that’s why we provide everyone a free product demo to show how surprisingly simple it really is.

Ready to give it a try?

Talk to our Test Engineers

Fast track your ecommerce monitoring


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API Testing And Automation

API Testing Tools and Automation 101: The Essential Guide

API stands for Application Programming Interface. Typically API is used to facilitate the interaction between two different applications by using any means of communication. When APIs are used over web networks, we term them as ‘Web Services’. In recent times APIs have become the backbone of programming. As in an application, writing APIs to communicate with database, or with another module has become a common practice now and that is why as a tester we must test the APIs to for maximum test coverage.

As a part of integration testing, API automation can help to accelerate the testing and increase efficiency. As most of the companies are using RESTful microservices/APIs at business layer, API testing has become critical component of test plan for any release.

In simplest terms, API is a service which helps two different applications to communicate with each other. Mostly APIs are used to abstract the business logic and direct database access to any application.

Logically we can segregate the entire system into three layers-

  1. Presentation Layer – This is user interface(GUI) which is open to end users. QA performs functional testing at this layer.
  2. Business Layer- This is Application user interface where the logic is written. In technical terms this is where code/algorithm resides. APIs come into picture at this layer.
  3. DataBase Layer- Where application data is present.

In other words the API is the brain of our connected world. It is the set of tools, protocols, standards and code that glues our digital world together. Because of their dynamic nature and capabilities they provide, APIs allow companies to become more agile, things to go mobile, and everything to work together in a streamlined, integrated way.Therefore, API testing is testing APIs at service level and the at the integration level.

Testing Strategy for APIs-

While testing APIs, tester should concentrate on using software to make API calls in order to receive an output before observing and logging the system’s response. Most importantly, tests that the API returns a correct response or output under varying conditions. This output is typically one of these three:

  • A Pass or Fail status
  • Data or information
  • A call to another API

However there also could be no output at all or something completely unpredicted occurs. This makes the tester’s role crucial to the application development process.And because APIs are the central hub of data for many applications, data-driven testing for APIs can help increase test coverage and accuracy.

In testing the API directly, specifying pass/fail scenarios is slightly more challenging. However in comparing the API data in the response or in comparing the behavior after the API call in another API would help you setup definitive validation scenarios.

API testing is one of the most challenging parts of the whole chain of software testing and QA testing because it works to assure that our digital lives run in an increasingly seamless and efficient manner. While developers tend to test only the functionalities they are working on, testers are in charge of testing both individual functionalities and a series or chain of functionalities, discovering how they work together from end to end.

Types of API Testing-

First identify what type of tests you need to perform on API. Like testers do different type of testing for features of their product, same goes with APIs. Commonly testing of APIs include-

Unit Testing– To test the functionality of individual operation. For eg- Google provides geocoding API,  to get the longitude and latitude of any location. This usually takes address as input and returns lat longs. Now for unit testing of this API, tester may pass different location and verify result.

Functional Testing- This type of testing mainly focuses on functionality of API. This would include test cases to verify HTTP response codes, validation of response, error codes in case API return any error etc.

Load Testing- This type of test is necessary in cases where API is dealing with huge data and chances of application to be used by no.of users at the same time. This increases the API hits at the same time and it may crash and not able to take that load.

Security Testing- Security testing is particularly critical as API are used to create a link between two different applications. The core purpose of using an API is to abstract or hide the application’s database from other. This may include the testcases like authorization checks, session management etc.

Interoperability Testing- This is to test that API is accessible to the applications where it should be. This applies to SOAP APIs.

WS compliance Testing- API is tested to ensure standards such as WS-Addressing, WS-Discovery, WS-Federation, WS-Policy, WS-Security, and WS-Trust are properly implemented and utilized

Penetration Testing- This is to find the vulnerability of API from external sources.

Web services/ API Protocols-

If we talk about web services there are mainly two type of services or we can say  protocols-

REST –  REST stands for REpresentational State Transfer which is new on the block as compared to SOAP which means it must overcome all the problems with SOAP. REST is a lightweight protocol which uses URL for all the needed information. It uses four HTTP methods to perform task-

  1. Get- To get the information. For example getting longitude and latitude in case of location mapping API.
  2. Post- To insert some data in resource.
  3. Put- To update the resource.
  4. Delete- To delete from resource.

REST is more used now a days due to its simple and light-weight architecture.

SOAP API- Stands for Simple Object Access Protocol. It uses XML for message exchanging. All the information which is required to perform this task is given in its WSDL which is Web Service Description Language. SOAP is heavy weight due to its extensive used standards and XML. The main advantages of SOAP over Rest is that it has built in error handling and it can be used with other protocols like SMTP.

Tools for API testing and Automation

There are several tools to test the APIs. When a tester get to test API, they must ask for its document, whether it is a REST or SOAP API or its not-web based API there should always be a document where the details should be written. To approach API testing-

  1. Ask for Doc
  2. Write functional or service level cases first
  3. Write integration tests
  4. When API is stable enough and passes most of the above tests, perform security, performance and load testing.
  • A typical API doc has all the information related to the API like its request format, response, error codes, resource, mandatory parameters, optional parameters, headers etc. The doc can be maintained in various tools like swagger which is open source, Dapperdox, ReDoc etc.
  • After that try to write service level cases for API. For example if an API takes n parameters to get the response in which m are mandatory params and others are optional, then one test case should be to try different combinations of parameters and verify the response. Another testcase might verify the headers and try to run API without passing authentication and verify the error code.
  • Next comes the step of integration test, where you need to test the API and all its dependent APIs or functions. This also includes testing API response, the data it should return to another API or method and what happens if this API fails.
  • Once the API is stable and functional testing is almost done, tester can perform load, security and performance testing.

API Automation

We often need to automate the testcases which are repeatedly executed. For eg- Regression cases. Similarly in case of API testing, there might be some cases which we need to execute before every release and those cases can be automated.

There are many tools for API automation which are quite popular-

  1. SOUP UI
  2. Katalon studio
  3. Postman
  4. Jmeter
  5. RestAssured
  6. CloudQA TruAPI

SOUP UI- It’s very popular tool for API testing.You can do functional, load, security and compliance tests on your API using SoapUI.

Katalon Studio- Built on the top of Selenium and Appium, Katalon Studio is a free and powerful automated testing tool for Web testing, API testing, and Mobile testing.

Postman- Postman is free and helps you be more efficient while working with APIs. It has all the capabilities to develop and test APIs.

Jmeter- Though Jmeter is mostly used for performance and load testing, it can also be used for API functional testing to a good extent.

RestAssured-  Rest-Assured is a Java based library that is used to test RESTful Web Services.The library can be included in the existing framework and call its methods directly for fetching response in json format and then perform required actions.

I am taking an example to explain the steps followed for basic API functional testing, here I am using TruAPI tool provided by CloudQA which is new and gaining popularity-

Step1-To run API request you need to first select the Method Type and paste URL of the API. Press Send button to send the request to API or press Add API Test button to save the request-


Try this sample Method Type and API URL

  • Method Type: GET
  • APIURL: https://um5fdww2pj.execute-api.us-east-1.amazonaws.com/dev/todos 

Step2-Information for API request:

  • Most of the API require additional inputs to perform the request such as parameters, Headers, Body(JSON), and so on.
  • To add parameters of the request you can select the respective Parameters tab and press the Add Parameter buttons to add the required information.
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Step3-Sending an API request with authentication:

  • In case your hosted API needs an authentication, you can go to the Authorization tab and select the BasicAuth from the dropdown list (Default it is set as Noauth) and then input the Username and Password. You are now ready to send authenticated requests.
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  • Every API response consists of different values like status code, body, headers, and the time to complete the API request. Below image shows how API response received is portrayed.

Adding Assertions:

  • In automation process, it is important that you verify your output using an assertion. To add an assertion in the API Runner, go to the Assertions tab. You can add one or more assertions here.
  • Follow these steps to add assertions:
    • Choose the response type
    • Choose the assertion’s condition
    • Input the value to be checked
  • You are done adding the assertion
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  • Variables tab is useful to store the values that are received as a response from an API request sent. To save responses go to the Variables tab and follow these steps:
    • Add Variable
    • Give a name to the variable for better understanding of the team
    • Input the JSON Path of the value to be stored from the response body
    • To use the stored value in the variable as expected assertion you can use __name of the variable__ in any other API request. 
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View or execute a saved API request:

  • When you are in API Runner page use View Saved Tests button to view the saved tests
  • Select one or more API saved tests and run the selected tests by default the tests shows the last executed run status information
  • Results will show up the API execution history
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This is a single API execution and automation. For real world scenarios, we often need to create API suit consisting all the regression test cases and run this as a part of regression testing. In agile, it’s crucial to have a suit ready so that it can be integrated with CI and CD.

CloudQA comes with a  very rich documentation about the tool, all the tools provided by CloudQA are aligned with the idea of “Codeless automation” and very easy to use for manual testers.

Link for documentation- https://doc.cloudqa.io/TruAPI.html


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Progressive Web App

Testing your PWA: Progressive Web Application

PWAs or Progressive Web Applications is quite a buzz in tech media. The increased number of mobile users and the App-like experience which it provides contributed a lot to its popularity.But what is PWA and how is it different from native mobile apps? How PWA’s are developed and what are key points which a tester should keep in mind while testing it?Let’s take a look-

Before jumping directly on how to test a Progressive Web App, we should first understand what exactly is it and what are key points which a tester has to keep in mind while testing it.

PWA or Progressive Web Application is a web app which uses modern web(or website) capabilities to give an app-like experience to users. In simple terms, it is a hybrid of a website and mobile app. A website which behaves more like an app downloaded from  Appstore/PlayStore.

It starts as a normal webpage in a browser, and as a user explores the web page, they get the prompt if they would like to “Add to Home Screen”. Once the user gives the thumbs up to this prompt, PWA gets added to their home screen. Once open from the home screen, it can even hide the browser UI controls and appear as an app.

Some of the popular PWAs are-

  1. Twitter lite
  2. Flipkart lite
  3. Trivago hotel booking PWA
  4. Forbes
  5. Starbucks coffee PWA etc

Testing Strategy for PWA-

To device testing strategy for PWA, let’s first understand how is it different from mobile apps or responsive apps.

The basic difference between a PWA and a responsive app is that it does not require any installation like an app but it supports all features of APP.

Features of Progressive Web Apps-

1) Responsiveness and browser compatibility- These apps are based on Progressive enhancement principles. The progressive web design strategy is to provide basic functionality and content to everyone regardless of browsers and connection quality while delivering the most sophisticated page version to users whose newer browser can support them.

So PWA is compatible with all browsers, screen size, and other device specifications.

2) Offline Support- PWA support offline and low-quality network both.

3) Push Notifications- Push notifications play important role in customer engagement if used wisely.

4) Regular Updates- Like any other app, PWA can also self-update.

5) An APP like interface- These apps mimic interactions and navigation’s of native apps.

6)Discoverability- These apps are shared through URLs so which can be easily found. A user has to visit on the site and add that to the home screen.

Technical Components of PWAs-

The Web App Manifest- Essentially a web app manifest is a JSON file through which developer can control how the way the app is displayed to the user i.e.full screen visibility with no address bar.

Service Worker-It is a javascript file which handles user’s interaction with the app.It runs independently from webpage or app. It supports the main features of PWAs like push notifications, offline work mode, and background synchronization.

Key Points to keep in mind while testing PWA

There are some key points which a tester should keep in mind while testing a progressive web application-

  1. Validate PWA Manifest- A manifest file is a must for PWA. A tester should look for following in the file-
    1. It has a name or short_name property.
    2. has start_url property.
    3. Web App Manifest has an icon property must include a 192px and a 512px sized icons.
    4. Display property should be set to standalone, fullscreen and minimal-UI.

  2. Validate Service worker- Service Worker registered with a fetch event handler.

  3. The website should be served fully via HTTPS- Safety is the major concern in the world of PWA and tester should always make sure that site is served via HTTPS. To test this, You can use Lighthouse by Google Developers, Jitbit, SeoSiteCheckup, DigiCert, SSL shopper, SSL labs, etc to test if your website is served over HTTPS or not.

  4. Web pages are responsive: Make sure that your web application shows responsive behavior across all mobile and desktop devices.
    You can use these tools to test for your web app’s responsiveness.

  5. Offline Loading: All of the web pages or at least some critical pages should work offline. As a tester, you need to make sure that your web app responds with a 200 when it is offline.

  6. Lighthouse or WireMock tool can be used for testing this.

  7. Metadata for ‘Add to Homescreen’: You need to test if the web app provides a metadata for ‘Add to Homescreen’.

  8. You can use Lighthouse to test for metadata for ‘Add to Homescreen’.

  9. Page transitions- Transitions should be smooth and should not be snappy even on slow networks.

  10. This should be done manually on a slow network. A tester should check the responses. When a user clicks on any button, the page should render immediately.

  11. Each page must have a URL: Every page on your web app must have a URL and all the URLs must be unique.
    Test it by checking that every page is linkable by a URL and it is unique to be shared on social media or other platforms. The URLs can also be opened directly in new browsers.

  12. Schema.org- Tester should also check for Schema.org is available whenever required. Google’s structured Data can be used to ensure that image, data etc are available or not.

  13. Push Notifications- A tester should test push notification keeping in mind that they are not overly aggressive. Also, they should be asking for permissions to the user.

  14. Functionality- This is the most essential part of any testing. Functional testing covers the aspects of the app with respect to the functionality defined in the requirement document. A tester can do it both manually or through automation.

There are various tools to perform automation testing which are quick to set up and easy to use-

Automation tools to test PWAs- PWA’s are like any other mobile app. CloudQA comes with codeless test automation tools through which a user can record the functional test cases and execute them. It also comes with the capabilities to add assertions, manage test case execution and reporting.

It is a powerful tool for codeless automation, so a tester without having any coding knowledge can easily use it and automate the test cases. Let’s get into the details of the tool and how can it be used for testing PWA.

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Test Recorder by CloudQA- Test Recorder is a record and save tool provided by cloudQA. Its trial version is quite rich in features and should suffice for basic functional testing. You can always buy the full version to harvest the more extensive features. To start with, download the CloudQA tool from the following link- https://cloudqa.io/

Click on the Free Trial button on top right and you will be taken to the registration form. Fill in the details and submit. After the registration is done, this will add an extension to chrome which will look like-

CloudQA Extension Icon

1) Open a new tab in chrome and enter URL of the website. Click on F12 to open the responsive mode of browser and select the device to emulate. For eg- Type cloudqa.io in URL and press F12. Select the device you want to test.

2) Click on CloudQA extension in your browser and you will get this screen-

Add New Application

3) This automatically detects the URL of the current screen and asks you for confirmation. Click on Add New Application and this will take you to the recording screen.


4) Click on Records and start executing the functional test manually as you normally do. The tool will record the steps.

Recorded Steps

5) You can see that all the steps are recorded with actions and data. As you are done, click on the icon again and give a name to the test case and click on save.

Save Test

6) After saving, a user can either execute the test case immediately or save for later. To execute immediately, a user gets an action after saving.

Execute Test

7) To execute later, go to the dashboard and you will get various option to manage test case and select the test case you want to execute and click on execute.

Execute from App

8) A user can save the set of functional test cases and later execute them at the time of regression.

9) There are options to get the test execution report, create and manage test suites and execute test suite and get the report.

This Tool also comes with a capability to add assertions to the test cases, manage and get execution summary as well.  An assertion is must when you write automation test. Test Recorder has a very smooth way of putting assertions in the test cases.

This is good enough to start with for manual testers because it does not require much of the coding knowledge and quite interactive and easy to use. Also, it does not compromise with capabilities one can add with automation.

You can go through the documentation which is quite understandable, for further detail – https://doc.cloudqa.io/

There are various other tools available to test PWA. Most of them require coding knowledge and at least hands-on on one programming language to start with. You can use them as complementary to Test Recorder.  Some of the popular ones are-

  1. Appium- Appium is a mobile test automation framework that works for all kind of apps-Native, hybrid and m-web. Appium derives its root from selenium and uses JSON wire protocol to interact internally to ios and android apps using selenium web driver.

    In its architecture, Appium is an HTTP server written in Node.js that creates and handles multiple WebDriver sessions. Appium starts tests on the device and listens for commands from the main Appium server. It is basically the same as the Selenium server that gets HTTP requests from Selenium client libraries.

    You can use it if you have an automation framework in-place and running. Add the Appium libraries to it which are open source, do the necessary code changes and write the test-script as we normally do for any other web-app and execute.
  1. Lighthouse- Lighthouse is a tool provided by Google that tests app for PWA features. This is open source tool and it tests app against the PWA guidelines such as-
    1. Tests the application offline or flaky network.
    2. Is served from a secure origin i.e. https.
    3. Is relatively fast.
    4. Uses certain accessibility best practices.

    Lighthouse is available as a chrome extension and a command line tool.

    Running Lighthouse as chrome extension- Lighthouse can be downloaded from Chrome Web Store. Once installed it will add a shortcut to the taskbar.

    Then, run lighthouse on your application by the select icon and choose Generate Report with the app open in the browser page.


Lighthouse generated an HTML page with the result.

LightHouse Result

Running Lighthouse from command Line-

Lighthouse is available as a Node module, which can be installed and run from command line.

To install run this command

npm install -g lighthouse

You can check Lighthouse flags and options with the following command:

lighthouse –help

It helps the tester to quickly check PWA against the specified standards provided by Google. For more information, you can refer to the google checklist given for progressive web application- https://developers.google.com/web/progressive-web-apps/checklist


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Automated regression testing ascertains code changes and functionality issues

Automated Regression Testing ascertains code changes and functionality issues. In other words, it is a quality measurement check to discover if new code complies with the old code so that the remaining unmodified code stays unaffected. Automation regression testing also allows for finding any bugs that may have occurred due to changes in the code and if the testing is not done, the product could have a critical issue occur during a live event which can lead to negative marketing impact.

There are various types of automated regression tests and they include:

  1. Unit Regression – done during the unit testing phase when a code is tested in isolation.
  2. Partial Regression – done to verify the code works fine even when the code is changed performed while the unit is integrated with the unchanged or already existing code.
  3. Complete Regression – done when a change in code is in numerous modules and/or if the change impact in any module is uncertain.

It is understood that automated regression testing is hard because for every action performed there is a reaction. A few result in successful tests but there may be another two-hundred that will lead to failure. Unfortunately, there is no one size fits all test strategy for automated regression and shortcuts that are used, have not had consistent positive results. The good news is there are some comprehensive specs, rules and examples that countless software engineers have diligently put together for our knowledge base and application protocol. (Baril, Gounares, & Krajec, 2014)


The Reason We Have Automated Regression Testing

Automated regression testing’s intent is to speed things up, so we can increase quality and velocity simultaneously which results in obtaining the prize of all promotional tools – being the first to market. It doesn’t matter if you are releasing a new software suite, software feature or even if you wish to make sure a particular software feature is current and working properly, there are steps to take, rules to follow and regression automation tests to conduct. Common practice is to utilize a suite of four regression automation tests which perform in an exemplary manner. They are:

  1. Retest all and repeat frequently – the entire test case in the suite are re-executed to ensure there are no bugs from a change in the code. This regression test is expensive due to its expansive nature and requires more time and resources than any of the other types of automated regression testing methods.
  2. Selection testing is worth using for maintenance – test cases are selected from suites to be re-executed. The test cases are selected from code changes in the modules and have two categories – reusable and obsolete. The reusable test cases can be used in future regression cycles whereas the obsolete ones are not use in future regression cycles.
  3. Prioritization to create stability – priorities are created, and the test cases depend on the listed and needed priorities to be for product impact and functionality.
  4. Simple – a combination of regression test selection and test case prioritization. Rather than selecting the entire test suite, only test cases which are re-executed and are listed as a priority are designated.

It should be noted automated regression testing not only enables checks into various changes but can also release and prompt testers to conduct manual assessments in the more uncommon cases respective to their unique production environment.

Stakeholders are usually willing to accept automation regression testing as being a part of the final analysis of ‘completion’ for user stories being worked on and evaluated. User stories are only closed when the corresponding automated tests were run effectively and efficiently and had successful outcomes. When the feature is successfully released into production, the regression suite becomes part of the tests. In layman’s terms that means there is a stable version of tests which now exist as part of the regression suite-built layer by layer and are available whenever development of a new feature is added. (Briand, Labiche, & Soccar, 2002)

However, there is a more difficult automated regression test to perform which occurs when a feature was released into production without having any automated tests performed. The challenge then becomes finding a regression suite to put into place since you can only do that incrementally, layer by layer so prioritization is mandatory to ascertain what must be tested.

Quickly convert your end-to-end web testing process to run over 80% faster and accurate now. 

Automated Regression Testing Tools and Time Savers

There are various tools that can be used in automated regression testing which combine testing with functionality in a single platform and a couple of popular ones include Selenium and vTest. However, there is a sidebar that needs to be considered and understood when using automated regression testing tools. The implementation of the tests are faster than manual tests but be cognizant that everything else will take significant time, so preparation is the key. What does that mean? It means that writing the tests and setting up the suite needs must be prioritized, listed and understood. To help save some inefficient use of your time, we have listed some automated regression testing time savers. (Raulamo-Jurvanen, 2017)

  • Try to write individual and independent tests because you will ultimately regret it if you don’t. By not writing individual and independents tests, if an issue arises, you will find because you did not write an independent test, your solutions are problematic and must work around test orders and the storing of state and data between test runs.
  • Separate acceptance and end-to-end tests because they do entirely two different things and need to run separately to get proportions correct. Acceptance tests target and test one thing efficiently and effectively. An end to end test is implemented to cover the user’s journey through an app and then test the app the same way a user access it. The end to end tests do take more time and are considered fragile because they contain so many incremental steps.
  • If you want your test to perform brilliantly, decipher why you are doing automated testing and once you ascertain need, determine what measurements will be needed. Your end goal should be to have as few automated tests as possible and only use them for valid and objective business reasons because automated tests are time-intensive and costly.
  • Never forget that intention and implementation are two different things. When writing scenarios, it is logical to input how best to implement the set-up, but that thinking is faulty and will not help longevity within your specifications or enhance business readability. Intentional features and scenarios provide outcomes that are clear and easy to understand and if you really want to provide exemplary solutions you can even build in the ability to change your test, if needed without changing your specifications.
  • Automated regression testing is not a one shot and you’re done deal because if you don’t run them on a consistent basis, they will become almost useless when someone changes code. The test should be in the same source control repository as the app, so they will not be forgotten about or ignored.
  • Automated tests should never be run on several browsers because almost every browser performs differently with slight variations which invalidates true results. In essence you are probably wasting your time. Try to find the browser most of your customers will be using. Google Chrome is usually a good place to start.
  • There are nuanced differences in manual and automated testing. This sounds like a no-brainer but it’s not. Automated testing is the testing of choice for functionality, but it does not do well in testing stories or exploring your system. Automated, artificial regression testing no matter how brilliant, logical or error-free, rarely understands weird quirks or cultural definition variances. But humans can find those unique perspectives and manually test them which is more cost efficient and allows for fine-tuning for human users’ needs.
  • Try to run your automated tests as they incrementally grow and develop to speed up your run times. It takes almost no time to create an agent to run tests and collate the results on a consistent loop integrated with the testing server.
  • Use, use and use your application development team because each member should be accountable for quality. The most effective and efficient automated tests are developed with the application development team because they integrate what is needed with what can be tested with the results being successfully magnified.
  • Try to find any opportunity to extract the most value for the least amount of time and energy. If you have to keep running automated end to end testing after deployment of product, is it a good use of a company’s outlay? Always seek value in every level of testing. Always.

Automation regression testing is one of the most important aspects in helping deliver a quality product because it makes sure that any change in the code whether it’s small or large does not affect the existing or old functionality. You can even use automaton to create master data and setup configurations for manual testers which ultimately allows you to facilitate the needs of the various operations within your company or organization. There will be new tests in automation with techniques discovered and challenges to solve. The journey to achieving optimum levels of automation in regression testing must start by taking the first step.

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Baril, B. B., Gounares, A. G., & Krajec, R. S. (2014). Automated Regression Testing for Software Applications. Retrieved 10 12, 2018, from http://freepatentsonline.com/9355016.html

Briand, L. C., Labiche, Y., & Soccar, G. (2002). Automating impact analysis and regression test selection based on UML designs. Retrieved 10 14, 2018, from http://ieeexplore.ieee.org/document/1167775

Raulamo-Jurvanen, P. (2017). Decision Support for Selecting Tools for Software Test Automation. ACM Sigsoft Software Engineering Notes, 41(6), 1-5. Retrieved 10 12, 2018, from http://dblp.uni-trier.de/db/journals/sigsoft/sigsoft41.html

Tan, S. H., & Roychoudhury, A. (2015). relifix : automated repair of software regressions. Retrieved 10 16, 2018, from http://dblp.uni-trier.de/db/conf/icse/icse2015-1.html


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Monitor 24*7

Selecting the right & best business application monitoring tools

When it comes time to select the right Application Performance Management (or APM) tools for your business, you need to make sure that you consider all the different aspects of each available package before you employ one.

It’s important to keep in mind that the applications and tools solutions you choose should be complete and also equipped with features that can scale with your business. At the same time, you need to be mindful that evaluating and comparing performance management tool solutions and all the different vendors will not be an easy task.

Monitor 24*7

Understanding your needs

Unless you are clear about your needs do not start the search for an APM tool. What are the typical needs for an APM?

  1. Code level diagnostics
  2. Types of technologies to be monitored
  3. End-user experience monitoring
  4. Out of the box/custom dashboards for your IT Operations
  5. Agent/agentless monitoring
  6. Cloud based/on premise tool
  7. Synthetic monitoring tool

Six points mentioned above are some of important high level requirements. Also come up detailed requirements. For example, list of critical metrics you need to monitor.

This is the first step to narrow down your search for a right APM tool for your needs.

What to Look for in an APM Tool

Once you are clear about your needs you then try to match your needs with available tools in the market. An APM tool that informs you that a specific transaction is slow, but is not able to tell you where, why, and who should be in charge of correcting this issue, is virtually useless. Therefore, a proper APM tool should offer an extensive library of integration gateways to analyze and aggregate data from almost all the major service providers.

There are open source options that might be worth considering which you can bend to your own needs, such as Nagios.

Many APM tools can offer useful analysis capabilities, just be mindful that these capabilities should be aiding your understanding of all your generated data. Also, to make all your tasks more manageable, a few criteria may be prioritized more than others with regards to your overall assessment of APM.

Two starring lights: New Relic APM Systems and Sensu

The criteria by which you should decide on an APM system should be as follows: reporting, monitoring, and analysis.

New Relic APM systems can map the history and status of an application in real time. You can also make use of pre-programmed behavior which will enable you to be able to identify changes with regards to your overall monitoring data.

Certain providers like Sensu choose only to target server-side monitoring and these providers will not offer you any client-side RUM functionality. It’s important to be wary of that.

Remember, an APM tool may be used to ensure the success of your business. APM tools ideally improve the availability and performance of the business applications that you presently use. Let that be your guiding light in selecting a system that works for you.

The Pros and Cons of Using the Datadog APM Platform

Another APM tool that may meet some of your needs: Datadog has a fully qualified and sophisticated user interface, which makes it ideal for collaborative environments.

On the other hand, you should also note that this very robust APM platform can become very expensive if you decide to increase the size of your development projects.

You can significantly reduce the chances of misunderstandings if all development teams are involved in the overall search for a single APM tool to solve all your problems, with the same vision of things and the same tools. It’s important to analyze and assert patterns by always looking at different levels of load on your global infrastructure.

Those patterns will determine your ideal APM tool choice.

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The Benefits of Using the Right APM Tools

Performing these kinds of tests with your APM tools, you can contribute significantly to sustainability and the overall planning of your systems.

You might also wish to give some thought to the idea that these tools are handy if you want to be able to identify potential problems before actual end users ever encounter them. Remember, your business’ public image will be damaged if you only identify issues after users begin confronting them in real-world scenarios.

It’s really in your best interests to invest in a high-quality APM solution to make sure that all your testing is fully complete before you release your application to the wild. While all applications frequently require a server to run, not all software packages will require users.

It’s crucial to use the right APM tools to test your apps depending on what real-world uses you plan for your software. When looking at the APM tools, you need to make sure that the one you select is appropriate for your use case. Every detail needs to be considered: from the efficiency of requests made on the underlying databases to the speed of the demands on the network.

For example, not all applications need to be scalable. In such a case, a tool like Stackify specializes heavily in dealing specifically with web application analysis.

On the other hand, New Relic, as we mentioned, monitors mobile and web users. It’s ideal if you need a tool that provides comprehensive end-to-end visibility. In other words, you should use a tool that offers a high level of detail with regards to each transaction that your APM tool monitors.

Lastly, tests and alerts will be necessary for specific types of applications. By its nature, you’ll find that these forms of monitoring among APM providers that specialize in monitoring user-centric applications – usually web-based and mobile-based.

Why You Should Use APM Tools Alongside RUM Platforms

It’s really important to carefully choose a solution that the stakeholders in each life cycle of the application will adopt. As a basic rule, APM providers who analyze RUM from the web also tend to be the ones who offer web performance monitoring. The selection of the right APM tool for your business will depend heavily on the use cases that you have planned for your software.

Take some time today to carefully analyze the full life cycle of your software package before you make a final decision on which APM tool you wish to use. It’ll be much better down the road when you have a clear rationale for your product and the reasons for the APM tool you chose.

An APM tool should primarily be used to monitor the availability and performance of your website or platform in continuity. On the other hand, you need to understand that web performance monitoring is at the same time frequently used in conjunction with a RUM tool.

Real User Monitoring (RUM) is an advanced passive approach which is used to analyze the performance of a website.

You should also note that in the scenario of a web application, the RUM aggregates and tracks each page visited by a specific user and each button that they click on.

RUM tools have a global vision of the environment and can even identify a specific transaction that is particularly slow. Also, you need to be mindful that whether it is a question of studying production data or replaying a problem, everything will depend explicitly on the details of each transaction.

APM tools that work with your test automation tools is essential

It’s important to be aware that functional or performance error details are essential whether a transaction is executed several times or just once.

At the same time, you should also understand that although regression or load testing is a crucial factor with regards to your applications, the real value arises from the data that an APM platform can aggregate. Remember, even if it is not you, someone else may make mistakes that will affect you in one way or another with regards to the functioning of your application.

Like the problems that may impact your application, the solutions to solve these problems may follow the entire development lifecycle, which means it’s important that APM tools also integrate with your test automation tools.

APM tool or set of tools together that suits your needs can literally revive your IT Operations. IT infrastructure has grown so complex because of so many options cloud, service virtualization etc. that the single approach doesn’t work any longer. Some organizations even have up to 30 different monitoring products deployed. In most cases, right tool choice can bring it down to 4 or 5. Review your APM toolset now. And pick one if you don’t have any setup with some tools providing no obligation pilot.


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Do you or your team currently test manually and trying to break into test automation? In this article, we outline how can small QA teams make transition from manual to codeless testing to full fledged automated testing.

Agile Project Planing

Why you can't ignore test planning in agile?

An agile development process seems too dynamic to have a test plan. Most organisations with agile, specially startups, don’t take the documented approach for testing. So, are they losing on something?

A test plan is useful to put discipline into the testing process. Otherwise, it’s often a mess when team members draw different conclusions about the scope, risk and prioritization of product features. The outcomes are better when entire team is on the same page. If your team isn’t planning tests, the problem could be how you perceive the test plan.

A test plan might appear like an elaborate document by the QA, but in agile it is more like a process than a plan. It can be dynamic in spirit and capable of keeping up the sprint velocity. Let’s look the challenges in agile testing and how to overcome them with planning.

The perils of no test planning

It’s a common pitfall when team is focused on a quick burn-down of everything in the bucket of requirements. This way, you can lose time on testing low risk and low priority requirements. And a feature that is more critical for the business may not get the attention it deserved.  

The lack of capacity to prioritize comes from limited understanding of the product user and usage. If testers are not able to prioritize what features are top priority to test first, testing becomes a disadvantage for the agile speed.

Absence of test planning can translate to inadequate team communication on the goals of testing. This can dilute the purpose building a product. If test planning is so important how can you incorporate it for your product?

Why agile test planning

For agile, test planning should map risks and rewards of testing any feature. In order to achieve this, tester should communicate the business importance and priority of features they would be testing in the sprint. Testers should evaluate the acceptance criteria rather than copy-pasting it. This allows testers to examine the significant features carefully.

Agile Project Planing

QA can use critical thinking in deciding what to test. This can only be possible if testers know the product users. Most of the product usage is concentrated in a few features. Data of product usage allows testers to take better decisions. And might invest more time in exploratory testing.

A discussion between the manual testers, automation testers and developers aids in planning. Say, the team can discuss how they can avoid duplication of tests. Or say, prepare a stub in parallel while the development of a feature is underway.

Test planning can layout the process of how quality is built in even before the coding begins. It is because the purpose of QA should be to stop injecting a defect in first place. For this purpose, importance of different tests like unit testing can be outlined so that the team can organize their output according to the available time.

Due to the nature of competition and demand the requirements can be dynamic and pop up unexpectedly. So, a plan to prepare for the unplanned can save the team from disorder and confusion.

To start embracing test plan in agile you can use the following mantras:

  • Test planning should be a dynamic process
  • Team communication is key to achieve goals
  • All team members must know the business importance and priority of product features
  • Plan should be inclusive of critical thinking to understand risk and rewards of testing
  • Purpose of plan should be to avoid the defects in the first place

The way forward

There is no static document that dictates the course of testing in agile. The direction comes from dialogues between all the stakeholders of the product. Whole team must be involved in quality assurance from the beginning of the sprint. The goal of interactions is that everyone on the team understands what to be tested and by what method. The test planning in agile needs a cultural change in the organisation. This is a continuous process and requires a constant promotion on collaboration.

Discover how Selenium helps in performance monitoring to take proactive measures against bad user experience


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