In a nutshell, AI testing entails the use of automated software testing techniques that make use of artificial intelligence (typically machine learning) to get superior outcomes.
The assumption is that by incorporating AI into such tools, they will be able to overcome many of the traditional challenges of automated software testing.
The following are some of the common problems that AI tools can aid with:
Test execution is delayed
an unstable test suite necessitates a lot of test maintenance
high-quality test cases creation
Insufficient test coverage due to repeated efforts in testing.
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