Digital businesses leverage the DevOps methodologies to accelerate their time-to-market with faster and quality releases. While the products are released faster, frequent updates are made to the applications that provide the best user experience possible. In this fast-paced pursuit of creating a high-quality application in less time, Regression testing ensures that any change in the code does not affect the existing functionalities of the application. Thus, Regression testing in DevOps is performed to ensure the application remains bug-free even after frequent code changes.

What is DevOps Regression testing?

As DevOps ecosystem of the digital business grows, so does its pace of product updates and modifications. Regression testing ensures that when these updates take place rapidly, everything still works as expected and adds incredible value to the DevOps-driven enterprises.

Benefits of embedding DevOps Regression testing

• Effective Regression testing embedded in DevOps enhances the overall product quality and ensures a great user experience (UX).

• Facilitates the creation of a stable product as testing is performed in sprints.

• Highlights functional defects early in the development life cycle for faster resolution

• Automated Regression testing shrinks re-work, and QA engineers will be freed up to take up other critical activities.

• Automated Regression testing in a DevOps environment ensures the releases are lightweight and efficient by reducing the test execution cost and time while optimising the application quality.

Ideal DevOps Regression testing scenarios

In an ideal DevOps scenario, it should be considered to perform Regression testing whenever the codebase undergoes modification or change in some way. Here are a few scenarios when Regression testing enables a perfect balance between continuous development and continuous testing within a DevOps environment.

When new functionality is introduced:

Introduction of any new functionality demands running Regression tests. There is always a risk of unexpected compatibility issues when modifications are made to the code. After the modifications are made, reviewing every code thread for compatibility is time-consuming. Hence, Regression testing is performed to save time with early and quick bug detection.

When an existing functionality is updated:

Sudden shifts in business strategy can sometimes lead to a complete revision of the existing features of the application. In this case, Regression testing in DevOps enables the developers to adjust, optimise, or even re-look at the features and ensures to keep the overall application in place.

When debugging the codebase:

Fixing a bug can unexpectedly lead to the generation of more bugs in the codebase. While debugging the source code within DevOps, Regression testing ensures that bug fixes do not cause more issues and ensures everything works as intended.

Given the above scenarios where Regression testing plays a critical role in ensuring bug-free deployment, let us now see where Regression testing fits in a DevOps workflow.

How did Conventional Testing Work?

Conventional testing, also known as traditional testing, follows a structured and systematic approach to assess the functionality and quality of software or products. The process typically begins with the creation of detailed test plans that outline the scope, objectives, and methodologies of testing. Test cases are then designed based on specifications and requirements to evaluate various aspects of the system. During the execution phase, these test cases are run, and the outcomes are compared against expected results.

Defects and issues are identified, reported, and then addressed by development teams. Conventional testing relies heavily on manual efforts, where human testers simulate end-user interactions to identify bugs and potential areas of improvement. While this method has been effective for many years, it can be time-consuming and resource-intensive, leading to the evolution of more automated and agile testing approaches in recent times.

Where does Regression testing fit in DevOps?

Regression testing has a key role to play in a DevOps workflow. This process takes place in the following instances:

•  When product enhancements are done

•  When new patches added

•  When there are minor changes in the software configuration

•  When a new feature is added, leading to code modification

•  When updates are made to the existing functionality or a patch fix

•  When integration with other apps takes place

•  When there are code changes to upgrade performance

Various Regression testing methods that fit in DevOps

Build level Regression testing:

Occurs during the second build of an upcoming release and enables the verification of the behaviour and compatibility of a newer version of the software.

Complete Regression testing:

Helps the testers to restore possible modifications done while extensive updates are made to the existing code.

Partial Regression testing:

Ensures the application performs as intended when new snippets of code are added to the existing code.

Unit Regression testing:

Enables the testers to test the code as a single unit. Unit Regression testing follows a narrow and focused approach in which all the complex interactions and external dependencies are temporarily blocked.

Five key elements of the Regression test plan in DevOps

After knowing the significance of Regression testing in DevOps, businesses should know about the key Regression test plan elements for careful planning of resources and channelizing QA efforts in the right direction.

Coverage:

It is not possible to declare what parts of the software need Regression testing without a test plan to refer to. Coverage can be measured by lines of code, statements, functions, or use paths. QA teams should use a code coverage report that showcases how much code has been covered by unit tests. Although it may measure the quality of tests, this report can determine which parts of the code need additional testing.

Consistency:

The entire application should be tested end-to-end when performing Regression testing. QA engineers must ensure that different app segments are tested consistently using the same tests and variables to generate the same output. Thus, following a consistent test plan makes Regression testing faster while ensuring test accuracy and quality of the application.

Speed:

A good Regression test plan will feature all the necessary details of testing laid out systematically and is easy to understand and execute. This accelerates the Regression testing procedure and improves the speed of the overall process.

Accountability:

A respective stakeholder, i.e., a QA lead or a senior QA, may be assigned for each sprint which takes ownership of the recorded tests and shares the approval for further production. When accountability is assigned to reliable stakeholders, it ensures effective Regression testing.

Continuity:

An effective test plan should document all the necessary details of recreating the test environment, performing the test and measuring the results. Thus, the test plan should be made accessible to all the involved team members.

How to Perform Regression Testing?

Performing regression testing involves systematically verifying that new changes or updates to a software application do not negatively impact existing functionalities. Here’s a step-by-step guide on how to perform regression testing:

Identify Test Scenarios:

Review the software’s existing test cases and identify critical test scenarios that cover the core functionalities of the application. These scenarios act as a baseline for regression testing.

Create Regression Test Suite:

Based on the identified test scenarios, create a regression test suite, which is a collection of test cases that will be executed during regression testing. This suite should cover the most critical and commonly used features of the software.

Automate Test Cases (Optional):

If feasible, consider automating the regression test suite using testing tools. Automation can significantly speed up the testing process and increase test coverage for repetitive scenarios.

Execute Test Cases:

Run the selected test cases in the regression test suite against the new version of the software. Ensure that the test environment is appropriately set up to replicate the production environment as closely as possible.

Compare Results:

Compare the test results of the new version with the expected results from the baseline test scenarios. Identify and document any discrepancies or defects found during testing.

Defect Reporting:

When discrepancies are identified, create defect reports, including detailed information about the issue, steps to reproduce it, and any supporting documentation. Assign the defects to the development team for resolution.

Defect Resolution:

The development team works on fixing the reported defects, and the fixes are then retested to ensure they have been successfully addressed.

Regression Test Iteratively:

If additional defects are found and fixed, rerun the regression test suite after each round of defect resolution. This iterative process continues until all critical issues are resolved, and the software meets the required quality standards.

Expand Test Coverage:

As the project progresses, consider expanding the regression test suite to include additional test cases that cover newly added features or functionalities.

Maintain Regression Test Suite:

Regularly update and maintain the regression test suite to reflect changes in the software and ensure that it remains an effective tool for validating software updates.

By following these steps, regression testing helps ensure that the software remains stable and reliable, even after introducing changes or updates, and provides confidence in the application’s overall quality.

Top 22 Regression testing tools in 2023

•  UiPath Test Suite

•  Tricentis TOSCA

•  Subject7

•  Cerberus Testing

•  Testimony

•  Digivante

•  Testsigma

•  TimeShiftX

•  Appsurify TestBrain

•  Avo Assure

•  testRigor

•  Sahi Pro

•  Selenium

•  Watir

•  TestComplete

•  IBM Ra­­­­tional Functional Tester

•  Katalon Studio

•  Ranorex Studio

•  TestDrive

•  AdventNet QEngine

•  TestingWhiz

•  WebKing

Conclusion

In today’s digital landscape, businesses in the United Kingdom (UK) strive to deliver faster, high-quality releases that provide an exceptional customer experience. Therefore, it is necessary to ensure high-quality products that effectively meet the customer expectations, which is achieved by leveraging software testing right from the stage of product development. Adopting effective regression testing in Agile ensures timely delivery of high-quality products to the market as all features are tested end-to-end.

How Can TestingXperts Help?

Regression testing is a key area of focus for TestingXperts (Tx) in the UK. TestingXperts’ spectrum of regression testing services include:

•  Software Regression Testing

•  System Integration Regression Testing

•  Functional Regression Testing

•  Automated Regression Testing

•  End-to-End Regression Testing

Our cost-effective regression testing model helps QA teams to deliver a reasonable balance between test selection and fault detection. Leverage our next-gen regression testing services for quality products.

Our regression test automation services have saved time & effort, lowered overall QA costs up to 60% and reduced QA cycle times by 80% for our clients.

Talk to our QA experts today

The post Role of Regression Testing in DevOps – A Quick Guide first appeared on TestingXperts.

Content 1. An overview of various regression testing types 2. When should businesses take up regression testing? 3. What is the significance of regression testing in agile? 4. What is the significance of regression testing in DevOps? 5. Regression testing benefits overview 6. Benefits of automated regression testing 7. What is a regression testing strategy? 8. How to develop a solid regression testing strategy for your business? 9. Benefits for businesses by adopting an effective regression testing strategy 10. Conclusion

Today’s businesses need high-quality software to deliver a great customer experience. Businesses often make frequent changes to the software features/functionalities based on the user requirements to deliver desired software to the customers. Typically, due to these frequent code changes, unknowingly, the existing functionalities of the software might get affected, or new bugs might also crop up. Therefore, businesses should leverage end-to-end regression testing in both agile and DevOps adoptions to ensure the proper functioning of the software even after frequent code changes. Moreover, businesses should follow an effective regression testing strategy while adopting regression testing to deliver high-quality software to customers.

An overview of various regression testing types

When should businesses take up regression testing?

This testing type should be taken up when:

• Bug/error is fixed in the software.

• A new feature or functionality is introduced into the software.

• The existing system is integrated with a new module or component.

• Requirement changes are initiated.

• UI changes are made in the software.

What is the significance of regression testing in agile?

Agile methodology focuses on faster and iterative development, where the product is developed in sprints and features are rolled out in each cycle. Ideally, testing cycles are kept short for ensuring a proper balance between the sprint development and iterative testing cycles. In an agile environment, developers roll out features at a faster pace, and therefore it is necessary that regression testing should go hand in hand to deploy features.

In an agile environment, the developers develop new features or make any addition or improvement to the code, while simultaneously, on the other hand, the regression testing is done on all new and old features. This regression testing technique in an agile environment occurs in two ways: partial (iteration) and full (major) regression testing types. In partial regression testing, only the features developed during the iteration are tested, whereas, in the full or complete regression testing method, the entire software is tested before release. This black-box software testing method in an agile environment ensures better resolution of defects as the product is tested in sprints to ensure defect-free software.

What is the significance of regression testing in DevOps?

DevOps is an evolution of agile methodology and involves various stages, namely, Continuous Development, Continuous Integration, Continuous Testing, Continuous Delivery, Continuous Monitoring, and Continuous Feedback. DevOps ensures that software is built and tested continuously and defects are quickly fixed to ensure faster delivery of bug-free software.

In the DevOps environment, regression testing is done at each stage of the DevOps cycle and after every change. Whenever software changes are made, regression testing is performed to check the existing functionalities and new code changes to ensure the software works fine even after changes. In DevOps, a faster feedback loop helps with fixing the bugs at each stage before moving to the final production stage.

Thus, regression testing has great significance in the DevOps environment and ensures the delivery of robust and high-quality software even after frequent changes.

Regression testing benefits overview

Ensures stable product:

In today’s agile environment, regression testing is taken up in sprints, which helps testers ensure build stability. In the DevOps environment, the product features and functionalities are continuously tested after every change, ensuring the software’s stability.

Enables quicker resolution of defects:

Regression software testing in agile and DevOps environments helps identify and resolve bugs earlier, enhancing the product quality.

Enhances the User Experience (UX):

Faster bug resolution and better test coverage ensured by regression testing in agile and DevOps make the product stable, ultimately enhancing the UX.

Reduces re-work and frees up testers:

Automating regression tests in agile and DevOps frees up testers and saves manual re-work. It saves a lot of time for testers, and they can be used for other critical activities.

Benefits of automated regression testing

As businesses leverage regression testing in both agile and DevOps, it is critical to adopt and follow an effective regression testing strategy to achieve significant results.

What is a regression testing strategy?

A regression testing strategy is the action plan or an outline of steps that need to be followed to ensure the successful testing of software. The regression testing strategy includes details about test objectives, testing time, resources, methods, testing environment, how to make regression testing part of the vision, details about the release process, checkpoints, definitions, process of automated testing, RACI, recommended tools, and more. However, to prepare an effective regression testing strategy, careful planning and the right selection of software testing techniques are required to ensure the regression testing process moves in the right direction to deliver significant results.

How to develop a solid regression testing strategy for your business?

Identify the need for regression testing:

The first step is to identify the need for software regression testing. Ideally, as soon as the change takes place in software, the regression testing method should be taken up. The primary motive of this testing process is to check the existing functionalities of the software with the help of regression test scripts.

Start with smoke and sanity testing:

Even before starting the regression testing process, it is essential to perform smoke and sanity testing to save the tester’s time and effort. In the smoke and sanity testing, the basic and core features of the software are quickly tested to ensure it works fine. It helps testers know whether the build is stable or not and helps decide whether to push it for further testing processes.

Define entry and exit criteria:

Before starting the test, it is essential to define the entry and exit criteria. The entry and exit points should be such that the test objectives are synced with test requirements. Thus, defining the entry and exit points smoothens the testing process.

Prepare and prioritize test cases for critical testing scenarios:

Testers should identify the problematic areas in the software and the areas that need to be tested first. Moreover, testers should first prepare and prioritize test cases around problematic areas.

Automate regression testing:

Testers should identify the test cases that can be automated to achieve a successful regression testing cycle. By automating the regression tests, the software can be tested with tools. Test automation ensures better test coverage, early bug detection, faster releases, and saves testers time and effort.

Maintain a repository of the regression test suite:

Testers should maintain a repository of the regression test suite. As soon as any changes in the software are made, testers should create respective test cases and add those test cases to the repository. It is also necessary to remove obsolete test cases from the repository.

Gather feedback from stakeholders:

Once the test strategy is prepared, it should be shared with all stakeholders, including development teams. Also, feedback from stakeholders and team members should be taken regularly to make changes in the regression testing strategy as and when needed to ensure significant results.

Other factors to be considered for a solid regression testing strategy

• Make the automated regression testing pack part of the DevOps CI/CD.

• Plan for scheduling daily/ frequent automated runs.

• Consider ROI on manual efforts and cost involved.

• Define critical success factors of test automation.

• Track and measure the Metrics.

Benefits for businesses by adopting an effective regression testing strategy

Identifies and rectifies bugs:

Whenever any change is introduced in the software, there are probable chances of new bugs getting introduced or old bugs getting reintroduced into the software. An effective regression testing process backed by a solid testing strategy is required to identify and rectify the bugs arising in software after frequent code changes.

Reduces testing time and cost:

An effective regression testing strategy ensures that the tests get completed in the minimum possible time so that businesses reach the market early. An efficient testing process ensures that the old bugs do not show up again and thus saves the cost involved in fixing bugs.

Channelizes testing team efforts:

A robust testing strategy clearly defines the roles and responsibilities of testers, avoids confusion, and ensures QA teams stay motivated and are up-to-date with the testing information. It ensures that the testing efforts of the teams are channelized in a proper direction so that effective testing results are obtained.

Manages testing complexity easily:

The regression testing process usually gets large and complex with time. A solid regression testing strategy defines managing and handling the complex regression test suites more efficiently and seamlessly.

Ensures optimum utilization of resources and testing tools:

A proper regression testing strategy involves careful planning to ensure that the teams know their roles and responsibilities well ahead. Proper regression testing tools and resources can be planned to get maximum benefits.

Conclusion:

Today’s businesses operate in a highly volatile market driven by ever-changing customer requirements. To satisfy the customers, businesses make every possible way to make their software more attractive and user-friendly. As businesses continue to make changes in their software, they should follow solid regression testing strategies and processes to ensure high-quality, defect-free software. Thus, businesses should leverage regression testing service from a next-gen QA and software testing services provider for achieving their desired high-quality software.

The post How to Develop A Solid Regression Testing Strategy for Your Business? first appeared on TestingXperts.

Best Practices to Follow for Regression Testing in Agile

The post Best Practices to Follow for Regression Testing in Agile first appeared on TestingXperts.

Content 1. When should Regression Testing be taken up? 2. What are the Various Types of Regression Testing? 3. Significance of Regression Testing in Agile 4. Benefits with Regression Testing taken up in Agile Environments 5. Regression Testing challenges faced by agile team 6. Best Practices to follow for Regression Testing in Agile 7. Conclusion

When should Regression Testing be taken up?

Regression testing should be taken up on a new build when there has been a significant change in the original functionality even with a single bug fix. It is usually performed after verification of changes or when new functionality is added and should be repeatedly tested with every new function. In most conditions, it can be considered as a retest of tests and this testing method should be taken up in various situations such as

– When product enhancements are done

– When new patches added

– When small changes in the software configuration are made

– When code is modified due to an added new feature

– When changes are made to existing functionality or any patch fix

– When new integration takes place with other products

– When code changes are made for a performance upgrade

Specifically, all these above instances should be regression tested to ensure all functionalities remain unaffected even with new changes.

Under agile and DevOps practices, regression testing plays a critical role as continuous testing is the key to these methodology’s success to maintain product stability. Testers continue to follow shift-left testing to ensure effective testing to be done along with development.

Moreover, teams use regression testing to ensure the tested functionality continues to remain the same even when new functionality features are all developed within sprints.

Now, let us now try to know about various types of regression testing such as unit, partial, complete, and build-level regression testing types which have been detailed below.

What are the Various Types of Regression Testing?

Unit regression testing:

This is an important type of regression testing that should be taken up during the initial unit testing phase which tests the code as a single unit. This form of regression testing has a narrow approach and is focused on individual units of code.

Partial regression testing:

This form of regression testing is performed to check problems when making slight changes to the code. This testing process ensures to make the system work properly even after adding new code or when even slight code changes are made.

Complete regression testing:

It is a comprehensive regression testing method that involves testing the changed units as well as any old features of the application. It is commonly taken up to test when more than one code change has been done. This testing has to be performed before any major release or product delivery to ensure all functionalities continue to work seamlessly.

Build-level regression testing:

This method of regression testing at build-level corresponds to testing during the second build of upcoming release and is usually taken up when some code changes are done across the builds.

Significance of Regression Testing in Agile

Agile methodology revolves around fast and iterative processes with sprint cycles which are short and churn out features for each cycle. Specifically, the testing cycles should also be short to keep up proper balance between the sprint development and the iterative testing cycles that follow them.

Basically, the agile development is fast and dynamic and developers churn features in quick times. It is necessary that the testing cycles should also go hand-in-hand to deploy the new features after testing them.

In a true sense, development is done on one feature and essentially the testing has to be done on all new and old features that were developed earlier. It is a priority and necessity that with every new build, the regression testing has to be taken up to make sure that the new addition or improvement in the code does not compromise the functionality of existing features.

Thus, the regression testing has its own significance and this testing process ensures functionalities remain unaffected for every build. This regression testing process is critical for product’s success as it ensures all functionalities work in accordance with the given requirements in an agile environment.

Benefits with Regression Testing taken up in Agile Environments

– Helps to build a stable product as testing is taken up in sprints in agile environment to check whether the newly developed or existing functionalities are working as per the requirements

– Identifies any functionality issues early in the product development life cycle and ensures quicker resolution of these defects

– Automating regression testing in agile processes helps to reduce re-work and frees up the testers to be used for other important testing activities

– Effective regression testing embedded in agile practice helps to improve the overall quality of the product along with ensuring great user experience

Moreover, in agile scenarios with iterative changes, there are more frequent build cycles and continuous changes are added to the application. Therefore, in order to test these frequent changes, software regression testing should be taken up in agile practices.

Thus, for successful regression testing in agile, the QA teams should follow best regression testing practices and build effective regression testing suite from the onset of software product development to ensure all functionalities work effectively.

Regression Testing challenges faced by agile team

1. Too many changes:

During the software development process, there will be instances where the management and customers will ask for changes in line with requirements. These changes can prove to be unstable, due to which the efficiency of the test automation strategy can be dampened.

2. Time-consuming:

Testing large applications consumes a lot of time. To create and maintain a regression test suite requires a lot of time too.

3. Unable to manage regression tests:

With each sprint, the scale of regression tests increases. In the case of large projects, it is really difficult to manage regression tests. In order to manage regression tests properly, testing teams should automate and review tests on a continual basis. Ineffective tests must also be removed in the process.

4. Poor communication:

There should be an effective communication channel and proper strategic communication taking place between the testing team, developers, business analysts and business stakeholders. This will ensure that the regression testing process is streamlined. Through effective communication, specific features that have to undergo regression testing can be correctly ascertained.

5. Maintenance is a time-consuming process:

It takes quite a bit of time to maintain and update the regression testing suite. Time is consumed when new test cases are included or the existing ones are updated.

Best Practices to follow for Regression Testing in Agile

1. Define effective regression test strategy:

It is of utmost importance in an agile process to define an efficient test strategy for regression testing<.

In order to get effective regression test strategy, it should include

– Gathering all test cases

– Identifying the improvements that can be made for the test cases

– Estimating the time required for execution of these test cases

– Outlining of which of them can be automated and which ones to be manually tested

This sort of elaborate development of regression test strategy ensures effective testing results.

2. Conduct smoke and sanity tests:

It is necessary to conduct smoke and sanity tests before regression testing is actually conducted, as it saves time for testing teams. Sanity tests ensures a run-through of the basic functionality of an application and smoke tests are used to test the start or initial workflows such as login and startup pages. These two initial tests can be used to primarily categorize if the application is too flawed or working fine, and then the actual process of regression testing can be taken up.

3. Leverage test automation:

As every release cycle needs to include regression testing to ensure new developments do not break any other existing functions, it is ideal to adopt test automation to save time and efforts of testers. Effectively, if a parallel run of automated regression testing is performed, then the process can enormously save time and improve the software quality.

Automated regression testing makes the testing process much more efficient as running the same tests over an over again by manual testers is tedious. Automation can free up resources and this automation process can be used to reduce tedious and repetitive tasks.

4. Maintain and update regression packs regularly:

Essentially, a regression pack is a collection of test cases that are executed with new software update for every feature. This regression pack consists of test cases that have been written and drafted using the requirement specifications document. It is necessary to update these test cases with changes in features or with inclusion of new changes and it is also essential to maintain these test cases to ensure effective test results.

5. Adopt complete regression testing:

A comprehensive regression testing is essential and should be carried out and it should cover all the critical conditions. This sort of final regression testing should be taken up to certify that the functionality has not been altered and affected due to new code changes. This testing proves gives a green signal by the testers to move the code to production.

6. Perform continuous testing:

In Agile methodology, continuous testing is the backbone to ensure quality software. The process states to ‘Fail fast’ and ‘fail often’ through continuous testing, such that defects are fixed fast by the developers. These defects are fixed before delivery with minimum impact on software. Moreover, continuous integration and continuous delivery in agile & DevOps practices requires continuous testing with automated regression testing.

Hence, even for any developed software that requires some changes or modifications with passage of time and need, the updates are rolled out in a way that it is essential for the QA team to make sure that all the features are working flawlessly. In order to achieve this functionality stability for every feature, regression testing needs to be adopted.

Conclusion

Today’s businesses need quality software that is bound to deliver great customer experience and at the same time they need shorter release cycles. Therefore, it is necessary to ensure high-quality products that effectively meet the customer expectations which is achieved by leveraging software testing right from the stage of product development. Adopting effective regression testing in agile and DevOps practices ensures to deliver quality products to the market on time as all features are tested end-to-end to ensure quality product.

TestingXperts expertise with respect to Regression testing revolves around a spectrum of regression testing services that includes:

– Software Regression Testing

– System Integration Regression Testing

– Functional Regression Testing

– Automated Regression Testing

– End-to-End Regression Testing

Our cost-effective regression testing model helps QA teams to deliver a reasonable balance between test selection and fault detection. Leverage our next-gen regression testing services to ensure quality products as regression test automation by our test automation experts ensures to save time, effort and also ensures significant cost reduction. Talk to our experts today

The post What is the Significance of Regression Testing in the Agile? first appeared on TestingXperts.

At the face of it, automation of acceptance testing is a compelling idea but watch out for the caution-areas lying on some fringes

Contents 1. Automated Testing Importance 2. Challenges of Automated Testing 3. Conclusion

Automated Testing Importance

Automated tests have defined new frontiers of speed and velocity while bringing quality-related relief for software requirements. They are especially useful when the pace of development needs these aspects:

– Super-fast cycles – The GTM (Go-to-Market) window can be suitably reduced – Continuous delivery is relevant – Automation can eke out shrinkage of feedback loops – Impact of comprehensive-requirement-validation is high

Software release cycles assume a different momentum altogether when automated tests come into play. The ‘Acceptance’ component is a crucial one in testing so automating that transpires into a new level of speed and traction for quick apps that an organization wants to dish out in today’s dynamic business environments. That comes in very handy when an enterprise is keen and hungry enough to quickly deliver a good idea to its users. More so, as testing has ceased to be a time-guzzler in Agile SDLC and DevOps environments. Automated testing enables simultaneous development, integration, testing and deployment of code.

But such gains are not directly amenable here as some pitfalls have to be taken into account before it’s too late:

Challenges of Automated Testing

1. Precision of test goals and test target can never be footnotes for any test, and that applies all the more for automated tests.

The capacity of testing environments available is quite crucial in determining the success of these tests, so too many of these tests where the environment is not sufficient or not provisioned smartly, would be a no-go zone. Do ensure that test-results analysis catches up in time with the pace of the rapid continuous test. No matter how much an automated test serves your thrill, intention and time-crunch; make sure that real and rigorous testing is not sidelined in this choice. And that these brilliant time-saving tests are not brittle when they run. Leverage automated software testing services to ensure that your web applications works effectively without any security issues .

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