
Table Of Contents
- What is manual regression testing?
- How to find the right balance in regression testing
- Why is manual regression testing important?
- Manual regression testing vs. automated testing: Which one should you choose?
- When should you use manual regression testing?
- How to perform manual regression testing effectively
- Best practices for manual regression testing
- Challenges of manual regression testing and how QASource overcomes them
- Best tools for manual regression testing
- Latest technology and trends in manual regression testing
- Conclusion
In modern software development, change is constant. New features, updates, and bug fixes are introduced frequently, often at high speed. But every change carries the risk of breaking existing functionality.
Regression testing addresses this risk. It verifies that recent changes haven't introduced defects or disrupted previously working features. Regression testing is essential for maintaining software quality in Agile development, where iterations are fast and continuous.
Importantly, it is possible to perform regression testing with both automation and manual methods, and both have their benefits. Automation brings speed and scalability. Manual testing adds depth and human insight. Together, they ensure that the product remains stable and reliable as it evolves.
What is Manual Regression Testing?
Manual regression testing involves re-running test cases to check if recent code changes have caused new bugs or broken existing features. Testers follow step-by-step test cases without using automation tools.
This type of testing helps ensure that updates, bug fixes, or new features don’t harm the software's core functionality. Testers interact with the application as real users, checking user interfaces, workflows, and system responses.
Manual regression testing is helpful for:
- Verifying UI design and user experience
- Testing complex scenarios that need human judgment
- Confirming that minor updates don’t affect essential features
How to Find the Right Balance in Regression Testing
Regression testing must run with every code change to ensure that nothing breaks. However, repeating the same tests during each Agile iteration can strain teams and timelines.
Manual regression testing is time-consuming and resource-intensive. Running full test suites repeatedly can slow down development and delay releases. This challenge makes it important to plan regression testing from the very start.
Effective regression testing needs to be scoped early. If overlooked, it can lead to late-stage failures or costly delays. If overdone, it consumes time and effort that is better spent elsewhere. Striking the right balance is key to prioritizing tests, automating where possible, and reviewing the scope regularly.
Only a well-planned strategy led by experienced QA teams can manage this balance without compromising product quality.
Why Is Manual Regression Testing Important?
Manual regression testing is crucial for delivering stable and reliable software. It helps teams catch unexpected bugs that may appear after code changes, updates, or bug fixes. Here’s why it’s important:
- Detects Hidden Bugs: Manual testing can catch visual or functional issues that automated tests might miss.
- Ensures Core Features Work: It verifies that essential features work after updates.
- Validates User Experience: Human testers can better assess design, usability, and user flows.
- Adapts to Frequent Changes: It’s flexible for testing apps with constantly changing features or UI designs.
- Builds User Confidence: A bug-free release improves user satisfaction and trust.
Manual Regression Testing vs. Automated Testing: Which One Should You Choose?
Feature | Manual Regression Testing | Automated Testing |
---|---|---|
Execution Speed
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Slow, as tests are performed manually
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Fast, with quick execution of test scripts
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Initial Setup
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No setup is required beyond test cases
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Requires time and resources to build test scripts
|
Cost
|
Higher long-term costs due to manual effort
|
Higher initial cost, but cost-effective over time
|
Accuracy
|
Prone to human error
|
Highly accurate and consistent results
|
Flexibility
|
Best for UI/UX testing and exploratory testing
|
Limited to predefined scripts and scenarios
|
Test Coverage
|
Limited, especially for large applications
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Broad coverage with repeatable test execution
|
Maintenance
|
Easier to adapt to frequent changes
|
Requires script updates after code changes
|
Best Suited For
|
Small projects, frequent UI changes, complex scenarios
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Large projects, repetitive tasks, and regression
|
Bug Detection
|
Effective for visual and usability bugs
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Effective for functional and logic-based bugs
|
Time Consumption
|
Time-consuming for large-scale testing
|
Saves time in long-term testing cycles
|
Which One Should You Choose?
- Manual Testing is ideal for user interface validation, exploratory testing, and scenarios requiring human judgment.
- Automated Testing is best for repetitive, large-scale, and time-sensitive testing.
A hybrid approach, i.e., manual and automated testing, often delivers the most reliable results.
When Should You Use Manual Regression Testing?
Here are key scenarios when it should be used:
- Testing Complex User Interfaces (UI): Manual testing is ideal for applications with dynamic UIs or frequent design changes. It helps catch visual bugs and layout issues that automation might overlook.
- Validating User Experience (UX): Human testers can better assess the look, feel, and overall usability of an application, ensuring a smooth user experience.
- Short-term or Small Projects: Manual testing is more cost-effective than setting up automation for small projects or one-time updates.
- Exploratory and Ad Hoc Testing: Manual testing allows testers to explore and interact with the app freely, making it easier to uncover unexpected bugs.
- Frequent Code Changes: When software updates are frequent, updating automated test scripts can be time-consuming. Manual testing provides quicker validation in such cases.
- Critical Bug Fixes: Manual testing is helpful for quickly verifying fixes in production without waiting for automated scripts to run.
How to Perform Manual Regression Testing Effectively
Follow these step-by-step guidelines to conduct manual regression testing efficiently:
Step 1: Identify Impacted Areas
- Review recent code changes, updates, or bug fixes
- Pinpoint features and modules that might be affected
- Focus on high-risk and critical functionalities
Step 2: Select Relevant Test Cases
- Choose test cases related to the updated areas
- Include core workflows, integrations, and edge cases
- Prioritize test cases that cover critical business processes
Step 3: Prioritize Testing Tasks
- Rank test cases based on risk and impact
- Test high-priority features first to catch major bugs early
- Allocate time for both positive and negative test scenarios
Step 4: Prepare a Clear Testing Environment
- Set up the latest build in a stable testing environment
- Ensure all necessary tools and data are available
- Confirm that the environment mirrors production settings
Step 5: Execute Test Cases Manually
- Follow each test case step-by-step
- Observe how the application behaves and note any issues
- Check UI/UX elements, user flows, and system responses
Step 6: Log and Report Defects
- Document any bugs or issues in a defect-tracking tool (e.g., Jira)
- Provide clear details: steps to reproduce, screenshots, and severity level
- Communicate issues to the development team for quick resolution
Step 7: Retest After Fixes
- Once the bugs are fixed, retest the affected areas
- Confirm that the fixes haven't introduced new issues
- Ensure related features still work as expected
Step 8: Maintain Test Documentation
- Keep test cases and reports updated for future cycles
- Record any changes in the application that may affect testing
- Use checklists to avoid missing critical tests
Step 9: Review and Optimize
- Analyze testing results to identify areas for improvement
- Remove outdated test cases and add new ones for recent features
- Continuously refine the testing process for better efficiency
Best Practices for Manual Regression Testing
To make manual regression testing more effective and efficient, it's essential to follow proven best practices.
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Identify the Right Test Cases for Manual Execution
It is critical that your regression testing identifies and fixes the real problem areas within your application. To make sure you verify and clean up everything in the process, target manual test cases that:
- Have had a high number of defects in previous iterations
- Include features that are highly visible to the end user
- Cover the application’s core features and functionality
- Control integration in the application
Again, regression testing needs to be executed every time a change occurs.
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Balance Manual and Automation Testing
Manual testing exposes your application's core elements to human engineers' insight and experience. While an automated system can never replicate that vision, it offers substantial time savings, provided you use the right automation tool for your application.
The automation vs. manual testing debate will remain with us unless AI can, one day, faithfully replicate the creativity of a human tester. Until then, accept that the best approach is a blend of automated and manual methods, ensuring maximum coverage with minimal effort.
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Maintain Your Test Suite
You need to keep your test suite clean. It should contain test cases only from recent iterations and should not contain any longer active cases. Similarly, your QA engineers should know to continually update test scripts to reflect all the latest code changes. Both efforts will save time on your QA and produce more stable test results.
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Plan for Each Test Phase
Any software development and QA phase that has the potential to produce change should be accompanied by pre-planned regression testing. Aim to uncover as many defects and errors as possible early in your Agile production cycle by giving the rigors of manual regression testing time to work.
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Capitalize on the Support of QA Experts
Finally, turn your regression testing over to experts whenever possible. Outsourcing your QA places the burden of producing a robust core on engineers who are dedicated to the practice. In addition to generating resource savings, an external QA partner can take the lead in pursuing regression testing advantages such as those outlined above.
If you are not a QA expert, outsource. There is more risk involved in trying to turn your development team into regression testing savants than there will ever be in inviting an external partner to share responsibility for your product.
Challenges of Manual Regression Testing and How QASource Overcomes Them
Manual regression testing is essential for ensuring software quality but comes with several challenges. QASource’s expertise and tools help mitigate these challenges to ensure a streamlined and effective testing process.
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Difficulty in Regression Pack Maintenance:
Maintaining and updating a sizeable manual regression test suite becomes challenging as the application grows.
Solution to the Client: We provided a comprehensive solution by creating end-to-end test cases for the different application modules. This approach ensures complete coverage while reducing the number of cases required. We also automated the end-to-end test cases for greater efficiency. Test case optimization is a crucial step in reducing the size of the test suite. To ensure the test suite remains relevant, we regularly review, update, and refactor the regression test suite. This includes eliminating or retiring redundant test cases and cases no longer applicable and adding new, relevant test cases to align with current application functionality. Our approach prioritizes, selects, and designs test cases to achieve maximum test coverage with the minimum number of test cases.
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Test Data Re-usability
Manually preparing test data for different test scenarios can result in redundancy and inefficiency. In the financial application, we must deal with crucial data, multiple calculations, multiple formulas, and different test data.
Solution Provided to the Client: Rather than generating numerous identical cases with varying test data for a particular field, we maintained a formula-based Excel sheet with diverse test data and established one case with various inputs and anticipated outcomes. Additionally, we appended the sheet with the test case, guaranteeing that computations are precise and correspond with the projected data.
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Waiting for Feedback on the New Feature/Improvement is Time-consuming
Solution Provided to the Client: It is recommended that the developer include Acceptance cases within the New Feature ticket to enable early testing by the tester. To prevent email chains, it is advisable to maintain a sheet of Queries and Issues on a centralized page, such as the Confluence page, accessible to all relevant parties (testing team, Dev team, business team). This allows anyone working on the feature to provide feedback on the sheet, facilitating the creation of a defect. Additionally, conducting peer reviews is a prudent approach to ensure comprehensive coverage of the entire functionality.
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Test Coverage
Manual testing might not cover all the areas due to time constraints
Solution provided to the client: It is recommended that tests be prioritized based on regression areas and risk analysis. Furthermore, performing sanity tests for the unaltered areas and excluding those cases from the test plan is advisable. Additionally, automating instances and executing automation suites for all areas within the regression cycle is highly recommended.
Best Tools for Manual Regression Testing
Here are some of the best tools for manual regression testing:
- TestRail
- Jira
- Zephyr
- TestLink
- qTest
- PractiTest
- Bugzilla
- X-ray
- Microsoft Test Manager (MTM)
- Ranorex Test Case Management
Latest Technology and Trends in Manual Regression Testing
The latest trends in manual regression testing emphasize greater integration with AI and cloud-based tools. By staying updated on these trends and adopting the latest tools and practices, teams can ensure more efficient and effective regression testing processes.
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Artificial Intelligence
Utilizing AI in regression testing provides several benefits that enhance the testing process's efficiency, accuracy, and effectiveness.
- The key benefits of incorporating AI into testing are test automation assistance, prioritization, smart test case maintenance, defect prediction, faster execution, cross-browser, cross-device testing, and pattern recognition.
- AI can assist in automating repetitive and time-consuming tasks within regression testing, including identifying test cases suitable for automation, generating test scripts, and enabling testers to focus on more complex testing scenarios.
- Helps maintain an up-to-date and relevant regression test suite by identifying redundant or obsolete test cases.
- AI algorithms can analyze historical test data and code changes to prioritize test cases.
- Detects changes in the application's user interface or functionality and automatically updates or adapts test cases accordingly.
- Analyzes patterns in past defects and testing outcomes to predict potential areas of high risk, enabling testers to focus their efforts on these areas.
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Cloud-based Test Management
Cloud-based test management tools are becoming essential for teams that work remotely or are distributed globally.
- Tools allow manual testers to access test cases, execute tests, and track results from anywhere, leading to more agile and collaborative regression testing processes.
- Tools like TestRail, qTest, PractiTest, and TestLodge are cloud-based solutions gaining popularity for manual testing management.
Conclusion
Manual regression testing remains a vital part of software quality assurance. It helps ensure that new updates, bug fixes, or feature enhancements do not negatively impact existing functionality. While automation speeds up repetitive tasks, manual testing is essential for validating user experience, complex workflows, and UI/UX elements that require human judgment. A balanced approach is combining manual testing with automation; it ensures that software is stable, user-friendly, and ready for release.