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AI can significantly enhance test case prioritization in Selenium by analyzing historical test data, identifying high-risk areas, and predicting which test cases are most likely to detect defects. Machine learning algorithms can automatically rank and select the most critical test cases based on code changes, user behavior, and past defect trends. This reduces testing time while improving accuracy and efficiency. By taking a Selenium certification course, professionals can learn how to integrate AI-driven tools with Selenium frameworks, automate smarter, and streamline continuous testing pipelines ultimately improving software quality and accelerating release cycles.
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Posted : 17/10/2025 4:48 am