What is Regression Testing? (2025 Regression Test Guide)

What is Regression Testing ?

Regression testing ensures that new changes—whether they’re bug fixes, feature updates, or system enhancements—don’t break your applications existing functionality. It’s like having a safety net for your software. When you modify code, regression tests verify that everything else still works as expected.

Think of it as a type of software testing that focuses on verifying that recent code changes do not have a negative impacted the existing functionality of an application.

Regression testing techniques refer to the strategic approaches teams use in software development to select, structure, and execute tests to ensure that recent code changes do not adversely affect existing software functionality.

For modern testing practices, regression testing plays a BIG role in helping the team maintain stable software. Especially in companies that require face-paced development cycles.

Why?

Well the more changes that take place to your code the greater the risk of those changes causing bugs.

To try to compensate for this many rely on the process of re-running previously executed tests—often automated—to ensure that everything that worked before still works after updates such as bug fixes, enhancements, or new feature implementations.

Why is Regression Testing Important?

Why It Matters

Regression testing is necessary for the following reasons:

• It ensures that existing functionality is not altered unintentionally.
• It enables the team to have confidence in frequent releases especially in CI/CD pipelines.
• It minimizes the risk of putting the product to the market by detecting regressions as early as possible.
• It enhances cross-functional collaboration by putting quality as a shared responsibility, no matter whether it is coded, low-code or no-code solutions.

So regression testing is not only a checkpoint. It should work as a it’s a safety net that is a continuous one that gives your developers confidence that any code checked in is behaving as expected and no new issue has been introduced. that evolves with your software and your team.

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Agile Regression Testing Example in Practice

Let’s take a closer look at how regression testing works with an example of agile regression testing in practice.

Imaging that you are developing an e-commerce application and the development team has introduced a new feature that enables users to apply discount codes during checkout.

Sounds easy, right?

But here’s the catch: you need to make sure that this new feature does not break down other functionalities such as adding items to the cart, calculating taxes or making payments.

Here’s how regression testing would come into play:

• Automated Test Suite: You probably already have a suite of automated tests for critical workflows like cart management, payment processing and order confirmation. These tests are your safety net. After the automated test run some teams still need to do a final manual test validation.
• Run Regression Tests: After the discount code feature is implemented, you’d run the entire regression suite to ensure that nothing else is broken. For instance, you would check whether or not adding items to the cart still works without a hitch or if the total price calculation is still correct.
• Catch Issues Early: For instance, if a bug is introduced for instance, the discount code causes incorrect tax calculations the regression tests will identify it right away. This means that the issue is dealt with before the feature is released to the market.

So how do you ensure that while introducing new features and functionalities the core functionality of the app is not compromised in any way?

This is where regression testing comes in; you would run all the test cases that you have, manually, and that can be such a chore to do over and over again with every version before releasing.

Expert Point of View: “Automation is a fantastic way to really, one, expedite your testing and then two, save your productivity because you’re no longer retesting the same test case over and over again. You can write one code or one scriptless automation for that test case to keep and retain it and then kick it off when regression comes.”

– Shannon Lee Senior Solutions Engineer

Testing Expert examples of how to automate regression testing

In one event I ran a few years ago I interviews some folks from Sony that explained how they perform regression testing.

They described the following scenario that for the Sony PlayStation team’s Agile approach, regression testing is considered a “catch-all” suite, containing all feature tests, including corner cases and negative tests. It is run nightly and acts as a safeguard against unintended side effects from recent merges or deployments.

Similarly, in the Selenium-based automation strategy shared by Tony Venditti at a previous Automation Guild, regression testing is part of a layered testing approach. While Smoke Tests verify critical functionality quickly, Regression Tests provide broader, deeper test coverage and can include hundreds of test cases per application module, sometimes running for 24 hours to validate functionality across the system. Developer also are the first line of defense creating effective unit test that act like quick regression tests before the commit code to the build.

In AI-assisted or model-based approaches, like those used by tools such as Eggplant, Jonathon Wright in a previous TestGuild Webinar explained that regression testing evolves into a more intelligent process. These systems can dynamically generate complete regression test paths based on user behavior models (digital twins), reducing redundant testing and helping detect issues that traditional scripted tests might miss.

Also, because of the increased use of automated testing tools and no-code and low-code test automation platforms like Applitools Autonomous, even non-technical team members can participate in the regression testing process by designing and running automated tests without having to write code.

This approach enhances test coverage and team collaboration in the development process making it so regression testing is not a bottleneck even for teams that do not have a lot of technical resources.

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Regression Testing Tools and Frameworks

Here’s a list of a few tools and frameworks commonly used for regression testing in software quality that my TestGuild testing community has shared with me: (For a full list reference my automation testing tools guide)

• Selenium: It is one of the most widely used open-source tools for testing web applications. A big plus is that webdriver works with different real browsers and programming languages. Making it really useful for regression testing.
• Cypress: It is known for its speed and user-friendly interface, Cypress is particularly well-suited for front-end regression testing, especially for JavaScript-based applications .
• Playwright: This is yet another modern tool for web testing, Playwright supports multiple browsers and has many features that are useful for regression testing, including how to handle flaky tests .
• JUnit/TestNG: These are Java-based frameworks that are used for unit and regression testing. They work well with CI/CD pipelines and give a lot of detail in the report.
• BrowserStack: It is a cloud-based platform that enables you to execute regression tests on multiple devices and browsers to guarantee cross-platform compatibility. Since you are already running automated tests in your CI/CD pipeline and using JIRA for traceability, then automation tools such as Selenium or Cypress can be easily be integrated into your process.

Know that you know WHY regression testing is important how do you run them n your day-to-day SDLC?

How to Perform Regression Testing Techniques

The goal of regression testing techniques is to guarantee the software's stability and reliability after changes are made.

These are some of the techniques used:

• Selective Regression Testing: This is a technique where instead of running the whole test suite, only test cases that are relevant to the modified code or the affected areas of the code are run. This is rather helpful especially in your CI/CD pipelines where resources and time are concerned .
• Retest-All: This is a process where the whole regression test suite is run to ensure that everything is well covered. Even though this approach is effective, it is rather time consuming and can be recommended for major releases or for critical updates.
• Risk-Based Regression Testing: Test cases are ordered according to the level of risk and the possible consequences of failures. Some features are more critical than others, and therefore should be tested more often. This is in line with your goal of having traceability and focusing on the business goals. This can be considered partial regression testing.
• Automated Regression Testing: This involves running test cases that are repetitive in order to save on time and to ensure that there is consistency. Tools like Selenium, Cypress, or Playwright can easily be incorporated into your CI/CD pipeline to give you immediate feedback on every code commit.
• Progressive Regression Testing: This is the process of periodically revising and enhancing the regression test suite when new features are being integrated or when old features are being removed. This way, the tests are kept up to date and remain useful in the future.

Now that you know the WHY and How what are some popular testing techniques you can start using right away?

Expert Point of View: “With long sequence regression testing, we take a subset, we take the ones that are passing and we run those continually until there's a failure or other exit condition.”

– Paul Grizzaffi, Principal Automation Architect

Type of Regression Testing Techniques

Regression testing techniques are the systematic techniques that teams use to select, organize, and conduct tests to guarantee that recent code modifications have not destroyed existing software functionality.

From the shared sessions and use cases, the following were the most important techniques mentioned on my podcasts. webinars and courses:

1. Full Regression Testing

This technique means re-executing the whole test suite to ensure that no functionality of the application has been affected by the changes made. It is normally done before a new version of the product is released or when there has been a major modification of the code.

Example: Sony PlayStation performs full regression tests every night that include all the functional test cases, including the main scenarios, boundary values and error paths.

2. Smoke + Targeted Regression

Teams perform quick smoke tests to check critical paths, then perform regression testing on the affected areas.

Example: At Sony, code changes cannot be merged unless they pass a quick “sanity” test and then broader “smoke” tests are initiated every two hours to identify regressions.

3. Automated Data-Driven Testing

Regression tests are enriched by the application of data driven approaches, where the same test conditions are applied to different input values.

Example: Both code (TestNG) and no-code (Applitools Autonomous) approaches showed how parameterized testing can help increase coverage without having to duplicate test logic.

4. Cross-Browser and Cross-Device Execution

In order to achieve platform independence, teams perform regression tests on multiple browsers and devices. It can be done sequentially or in parallel.

Technique Variance:

Selenium with parallel execution via local or grid setups.

No-code tools can integrate with cloud grids to simplify cross-browser execution.

5. Visual Regression Testing

This includes checking visual outputs (screenshots) of the application to identify any changes in the user interface that are not expected.

Example: Sony employs Applitools to automate localization and UI verification in more than 100 languages and uses existing functional tests to compare visually.

6. Performance-Aware Regression

Some teams take their regression suites to the next level by incorporating performance metrics to detect performance regressions in addition to functional regressions.

Example: Sony reuses existing functional regression tests with added telemetry to track metrics like “time to interact” and generate performance reports.

7. CI/CD Integration for Continuous Regression

Contemporary teams incorporate regression testing into CI/CD pipelines to get continuous feedback on every commit or release.

Example: Eggplant can connect to CI tools such as Jenkins or Azure DevOps to run regression tests automatically at every stage of the release.

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Regression Testing vs Retesting: Difference

After interviewing over six hundred software engineers and testers I've found that regression testing and retesting are often confused, but they serve distinct purposes in the testing process:

1. Regression Testing: It ensures that the recent code changes have not caused any negative impact on the existing functionalities. It’s like a safety net for your application, verifying that what worked before still works now. For example, if you add a new feature to your app, regression testing checks that other unrelated parts of the application, like login or checkout, are not affected. It is usually automated and embedded in CI/CD pipelines for the sake of effectiveness .
2. Retesting: It is used to confirm that certain defects are resolved. It is focused and manual, and can include re-execution of the same test cases that were failed earlier. For instance, if a bug in the payment gateway was reported and fixed, retesting is used to ensure that the fix is correct.

In brief, regression testing is about keeping the application stable, while retesting is about proving that certain problems are fixed. Both are important but have different objectives in your QA strategy.

Another issue I often hear about is teams struggling to create good regression test cases.

So let's take a look at that now.

How to define a Regression Test Case?

It begins with defining the aim of writing a regression test case: to guarantee that current functionality is preserved post-change. Here’s how you can define one effectively:

• Identify Core Functionalities: This should include aspects that are important for the running of your application or those that are popular with the user. For instance, in an e-commerce application, this may encompass the user login, adding items to the basket, and making a payment.
• Analyze Impact Areas: Determine the areas of the application that may be impacted by the recent code changes. You can use JIRA that you already integrate for traceability to chart out the dependencies and possible areas of impact .
• Static and User-Focused: Regression test cases should be user-focused rather than based on the functional requirements. They are a static suite which is only changed when new features are added or old features are removed. This way, they remain relevant and user focused ‌1‌.
• Prioritize Test Cases: Take a risk-based approach to determine which test cases to run. Areas of high risk or those with a history of bugs should be given priority.
• Automate Where Possible: Since you are implementing automated tests into your CI/CD pipeline, focus on automating regression test cases for efficiency and consistency.
• Documentation: Each specific test case should have a clear objective, preconditions, steps and expected results. This makes them simple to comprehend and sustain. Also, don’t forget to spend time on crafting test run reports that allow for easy debugging of test results.

Besides creating regression testing cases what are some other common challenges?

Expert Point of View: “The value for automation in regression in the long run is the next version, so that it cuts down on the time you have to spend on the next go around doing all the work that you did this time.”
– Jon Robinson, Head of Salesforce @ TestSigma

Challenges in Regression Testing (Cons)

Even though regression testing plays a crucial role in your software development process it is not without its problems.

What are they?

Let's break them down:

• Time-Consuming: Running a full regression suite, especially for large applications, can take a lot of time. Therefore, prioritization and automation are crucial to enable it to be manageable .
• Test Maintenance: Your application will change over time and so should your regression tests. It can be very time consuming to keep them updated with new features and eliminate unnecessary ones, especially when dealing with brittle test scripts.
• Flaky Tests: Some automated regression tests may fail occasionally because of factors like timing, environment issues, or dependency problems. Tools like Playwright or Cypress can assist with this but it is still a typical challenge ‌.
• Resource Intensive: Regression tests require a lot of resources to execute, especially when done across different environments or devices. Solutions such as BrowserStack based on cloud can help solve this problem .
• Identifying Impact Areas: It is important to know which parts of the application are influenced by the changes and this is only possible with good traceability. Your JIRA integration for mapping tests to requirements is a great step in addressing this challenge.
• Balancing Coverage and Efficiency: It is always challenging to get high test coverage with no excessive overhead on the pipeline. Risk-based testing can assist in identifying critical areas which need to be prioritized to ensure that important functionalities are properly tested .

Best Practices for How to Implement Regression Testing

Here are some best practices for regression testing that will help keep your process efficient and effective:

1. Prioritize Risk-Based Testing: Focus on test cases that cover high-risk areas or critical business functionalities. This helps you to focus on the most important cases and not spend too much time on less important ones. For instance, one can focus on the straight through test cases that depict the main user journeys with the highest business value.
2. Make sure that your developers are running unit regression testing on a regular basis during development. Many use the TDD approach.
3. Automate Strategically: Automate the test cases that are repetitive and are not prone to change in order to save on time and to enhance the reliability of the results. Since you are already integrating automated tests into your CI/CD pipeline, tools like Selenium or Cypress can assist in this process.
4. Maintain Your Test Suite: Modify your regression test suite from time to time to encompass changes in the application. Unnecessary tests should be eliminated and new tests should be created for new features that have been added. It makes your suite effective and reduces the effort required to maintain it.
5. Leverage Traceability: Use your JIRA integration to trace test cases to requirements and changes. This helps to quickly identify affected areas and guarantee proper coverage .
6. Run Tests Early and Often: Run the regression tests in your CI/CD pipeline to detect problems as early as possible. This way, the frequency of testing can be reduced in order not to let bugs get into the production.
7. Monitor and Address Flaky Tests: Learn to work with flaky tests which pass some checks and fail others. Tools like Playwright or Cypress can assist in enhancing the stability of your automation scripts.
8. Use Cloud-Based Solutions: For cross-platform testing, platforms like BrowserStack can be useful in saving resources and ensure that the product is compatible with different devices and browsers .

Expert Point of View: “One of the ways to control costs is to run a small sample of tests based on an impact analysis. It is probably something we already do with regression testing, and then based on those results, think very critically about whether any other tests need to be run.”
– Lee Barnes, Chief Quality Officer @ForteGroup

QA Regression Testing at Scale

The process of expanding agile development regression testing becomes complex but proper foundation work combined with best practices solves the problem. The following steps will help you optimize your test cases for maximum effectiveness:

• Your test cases need to be designed for scalability from their initial creation by using modular components that are reusable and maintainable. The implementation of consistent coding standards and conventions throughout teams represents an essential requirement. The combination of code reviews and automated sniffers provides effective consistency maintenance in multi-sprint environments.
• At scale, automation stands as your most valuable asset. Focus on automating stable, repetitive test cases and integrate them into your CI/CD pipeline. Test automation executed regularly detects unstable tests and produces reliable results that become essential when expansion occurs.
• Crawl, Walk, Run, Fly: Don't try to automate everything at once. Begin with a small implementation then demonstrate its effectiveness before expanding further. The method prevents developers from entering the extensive maintenance process which results from rapid expansion. Your strategy should be refined through regular retrospectives which help you manage tech debt and address gaps in coverage.
• The scalability of test efforts becomes restricted by test data and environment dependencies. Test data management should be centralized while teams must maintain environment consistency. The process reduces test failures which result from data or configuration mismatches between different environments.
• Large test scopes should be divided into smaller test units which reduce their overall impact. The approach enables faster development cycles and simpler debugging processes while delivering more precise testing methods. System stability depends on identifying potential impacts through isolation procedures.

Wrap-Up

I hope this helped either your existing testing efforts or encourages to to start regression testing.

Taking these best practices and expert recommended approaches should improve your software development lifecycle.