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Regression Testing

Regression test planning; writing of test cases and test scripts; defect logging and tracking incl. in Salesforce cloud applications. Find Regression Testing WFH freelancers on January 21, 2025 who work remotely. Read less

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Top Frequently Asked Questions
What is Regression Testing?
Regression Testing is a type of software testing that ensures that previously developed and tested software still performs correctly after it has been changed or when the environment in which it operates has changed. Here's a detailed explanation:

Purpose:
Detect Regressions: The primary goal is to catch any new defects introduced due to code changes, which might affect functionalities that were working correctly before the change.
Ensure Stability: Confirm that existing features continue to work as intended after modifications, whether those changes are bug fixes, new feature additions, or system updates.

When is Regression Testing Done?
After Code Changes: Any time the codebase is altered, including bug fixes, enhancements, or new features.
Environment Changes: When the operating system, hardware, or third-party libraries are updated.
Configuration Changes: When settings or configurations of the application are modified.

Key Aspects:
Selective Testing:
Not every test case from the original test suite needs to be run again, especially in large systems. Test cases are selected based on areas likely affected by the changes or historically problematic areas.
Automation:
Due to the repetitive nature of regression testing, especially in large or frequently updated systems, automated testing tools are often used. This includes automated test scripts using frameworks like Selenium, JUnit, or TestNG.
Test Suite Maintenance:
As the software evolves, so should the test suite. Tests might need to be updated, expanded, or even retired to remain relevant and effective.
Prioritization:
Tests are prioritized based on risk, change impact, or criticality of the functionality. Critical paths or frequently used features might be tested first.

Types of Regression Testing:
Unit Regression Testing: Focuses on testing individual units or components of the code to ensure they still function correctly after changes.
Partial Regression Testing: When only a subset of the existing test cases is rerun, focusing on areas related to the change.
Complete Regression Testing: Running the entire test suite to ensure the whole application works as expected, typically done when major changes or updates have been implemented.
Progressive Regression Testing: Where new test cases are added to the regression suite for new functionalities, while still running tests for old functionalities.

Challenges:
Test Case Explosion: As software grows, so does the number of test cases, making testing time-consuming and resource-intensive.
False Positives/Negatives: Automated tests might fail due to test script issues rather than actual software defects, or they might not catch new issues due to outdated test cases.
Resource Intensive: Both in terms of time and computational resources, especially for large, complex systems.

Best Practices:
Use of Version Control: To track changes in both code and test cases.
Continuous Integration (CI): Integrating regression tests into CI pipelines so tests run automatically with each code commit.
Risk-Based Testing: Prioritizing tests based on business risk or the likelihood of impact from changes.
Test Data Management: Ensuring that the data used in testing reflects real-world scenarios and is updated as the application evolves.
Regular Review of Test Cases: To remove redundant or obsolete tests and update or add new ones based on recent changes.

Regression testing is crucial for software maintenance and ensuring the reliability and quality of software over time. It helps in building confidence that new code changes or external modifications haven't adversely affected existing functionalities.
Choosing the "best" regression testing software depends on various factors like the size of your team, the complexity of your application, your budget, and specific needs like integration capabilities or ease of use. Here are some of the top regression testing tools widely recognized in 2024, based on user feedback, features, and industry reputation:

1. Selenium - https://www.selenium.dev/
Best For: Web application testing.
Why: Open-source, supports multiple programming languages (Java, Python, C#, Ruby, etc.), and works across different browsers and platforms. Its vast community provides extensive support and plugins.

2. TestComplete - https://smartbear.com/product/testcomplete/overview/
Best For: Comprehensive desktop, web, and mobile application testing.
Why: Offers a robust GUI testing tool with record and playback features, supports keyword-driven and data-driven testing, and has good integration with CI/CD tools. It's particularly strong for those looking for a code-based approach with a lot of customization.

3. Ranorex - https://www.ranorex.com/
Best For: Cross-platform (desktop, web, mobile) testing with a codeless approach.
Why: User-friendly for beginners with its drag-and-drop interface but also powerful for experts needing to script. It supports parallel test execution, has good object recognition, and integrates well with CI/CD systems.

4. Katalon Studio - https://katalon.com/
Best For: Teams looking for an all-in-one test automation solution.
Why: It combines web, API, mobile, and desktop testing in one platform with a user-friendly interface. Supports both script and codeless testing, has good reporting capabilities, and integrates with CI/CD tools.

5. LambdaTest - https://www.lambdatest.com/
Best For: Cross-browser testing and visual regression testing.
Why: Provides a cloud-based platform for testing on thousands of real browsers, devices, and operating systems. Its HyperExecute feature speeds up test execution significantly, and it includes visual regression testing capabilities.

6. Testim.io - https://www.testim.io/
Best For: AI-powered test automation.
Why: Utilizes AI to help with test maintenance, making tests more stable over time. It offers a codeless interface with the option to write custom code, supports parallel testing, and has good integration with development tools.

7. BrowserStack - https://www.browserstack.com/
Best For: Real device and browser testing.
Why: Similar to LambdaTest, BrowserStack offers real device testing for mobile and desktop across various environments. It's particularly praised for its Percy tool for visual regression testing.

8. Tricentis Tosca - https://www.tricentis.com/products/automate-continuous-testing-tosca/
Best For: Large-scale enterprise testing with model-based test automation.
Why: Offers a comprehensive, model-based approach to test automation, which can be beneficial for complex, large systems. It's known for its risk-based testing strategy and codeless automation.

9. QTP/UFT (Unified Functional Testing) by Micro Focus - https://www.microfocus.com/en-us/products/uft-one/overview
Best For: Enterprises with legacy systems or those needing deep integration with HP's software ecosystem.
Why: While it's more costly, it's known for its strong object recognition and integration capabilities within the HP/Micro Focus suite of tools.

10. Leapwork - https://www.leapwork.com/
Best For: Teams with non-technical testers or those needing visual test creation.
Why: Provides a visual, flowchart-based approach to test automation, making it accessible for non-coders. It's strong in integration with various tech stacks and supports both web and desktop testing.

Additional Considerations:
Open Source vs. Commercial: Open-source solutions like Selenium are free but might require more setup and maintenance. Commercial tools often come with support, more features out-of-the-box, and sometimes easier integration with other enterprise systems.
Integration: Check how well the tool integrates with your current development stack, CI/CD pipeline, and other tools you use.
Scalability: As your project grows or changes, will the tool scale with you?
Support and Community: Good documentation, community support, or professional support can be crucial, especially if you're new to test automation.
Ease of Use: For teams with varied technical skills, tools that offer codeless or low-code options can be beneficial.

The "best" tool will be the one that fits your project's specific needs, your team's skills, and your budget. If possible, try out a few through trial periods or demos to see which one works best for you.

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