As the quantity of test data increases, machine learning could be the answer to sort through it all

Source:- Scaling test automation and managing it over time remains a challenge for DevOps teams. Development teams can utilize machine learning (ML) both in the platform’s test automation authoring and execution phases, as well as in the post-execution test analysis that includes looking at trends, patterns and impact on the business. Before diving deeper into how ML can help during both of these phases of the test automation process, it is important to understand the root causes of why test

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