Throughout 2022, we witnessed an unremitting evolution of quality assurance (QA) software testing practices across a gamut of segments. Automation levels reached new heights. Continuous testing went full force, and AI and machine learning continued to pick up momentum. Big data testing is now just data testing, and IoT testing came into a sharper focus.
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These practices will continue to influence the industry for years to come — especially in the context of expanding DevOps and Agile frameworks based on collaboration, speed, and iterative releases. In fact, these approaches have become such indispensable tools at this juncture that they’re no longer considered novel talking points as much as industry staples.
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