The implementation of AI (Artificial Intelligence) and ML (Machine Learning) is well known. Now the testing team should be focused on testing an application using the approach of AI.
There are various algorithms of AI that help to generate reliable and better test cases, scripts, test reports, and test data. Its predictive model helps the testers for the identification of when what, and what to test.
Using the provision of analytics and visualization support, the QA team gets an effective plan after detecting bugs and identifying high-risk areas.
Although this testing approach is in the early stage but being a tester, one should keep following. Experts will get the ways to optimize this testing method through Artificial Intelligence and Machine Learning.
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