How does AI improve software testing?
Hi Shashank,
AI enhances testing by identifying patterns, predicting issues, and automating repetitive tasks. It can perform root cause analysis and reduce test flakiness.
To learn more, check out the below article:
AI improves software testing by enabling smarter test case generation and prioritization. It can analyze large datasets to identify the most critical areas to test, reducing testing time and increasing coverage. Additionally, AI helps in creating dynamic tests that adapt to changes in the application, ensuring continuous test effectiveness.
AI-driven testing tools can also enhance test execution by automatically adjusting to changes in the UI or underlying code. By learning from past test results, AI can identify unstable areas and improve test stability, minimizing the need for manual intervention while increasing the accuracy and efficiency of the testing process.