How to use AI in your real time testing project? For testers & SDET’s.

Image credit: Canva Team , Designed by: Mukta Sharma

AI can expedite the overall testing process plus enhance the quality of your testscripts. AI can help identifying the defects in your code as well as highlight the visual discrepancies in your UI tests

As a new Software Development Engineer in Test (SDET), integrating AI into your test automation process can significantly improve efficiency and effectiveness.

AI serves as a valuable tool that complements your testing skills by the following:

Automating repetitive tasks,

Analyzing data, and enhancing overall testing.

One of the primary applications of AI is automated test case generation, where you can input requirements documents and user stories, allowing AI to create comprehensive test cases, including edge cases. Amazing, isn’t it?

Additionally, AI can maintain your test suites by automatically adjusting them when changes occur in the application, such as renaming UI elements. It can also analyze historical data to identify patterns and predict potential issues, helping you focus your testing efforts on areas more likely to have defects.

It helps you with your Test data creation as well. You can generate diverse data sets quickly.