Test automation tools powered by AI help developers, QA testers, and other teams meet their objectives related to gaining high-quality and releasing the apps faster.
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AI and ML are transforming our daily lives in many ways. With the help of ML and AI in automation testing, there will be numerous advantages such as an increase in test coverage, improvement in accuracy, and faster product delivery. Here's five methods AI can change software automation testing.
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The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects.