How does the integration of AI and Machine Learning impact test maintenance and evolution in functional testing?
- Automated Test Script Adaptation
- Decreased Dependency on Testers
- Enhanced Test Maintenance Efficiencies
- Improved Test Coverage
Integrating AI and Machine Learning in functional testing can impact test maintenance positively by enhancing efficiencies. Automated test script adaptation, driven by intelligent algorithms, allows tests to evolve with changes in the application. This improves test coverage, reduces manual effort in maintenance, and ensures that testing keeps pace with the evolving software, contributing to a more robust and adaptable testing process.
Loading...
Related Quiz
- In functional testing, what additional tools or techniques might be employed to assess performance?
- Scenario: A software development team is considering adopting model-based testing for their project. However, some team members are skeptical about its effectiveness, citing concerns about the complexity of creating and maintaining models. How would you address these concerns?
- What is the difference between test strategy and test plan?
- TestComplete provides _______________ feature to create reusable test scripts.
- Scenario: After a defect is fixed by the development team, it is retested by the QA team and confirmed to be resolved. What status should the defect be transitioned to in the Defect Lifecycle?