Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software delivery is unrecognizable from only a few years ago as tech companies release products at breakneck speed, driving quality assurance (QA) teams to expand their toolkit in order to remain competitive.

Cognitive technologies that simulate activities of the human brain, such as machine learning, have stepped up the rhythm of testing and product releases in a major way. This has led to novel software testing approaches that deliver more refined applications with error-free functions delivered in less time and without programming.

In this article, let’s explore how machine learning is revolutionizing software testing and breaking new ground for QA teams and enterprises alike, as well as how to successfully implement it.

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