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AI in Software Testing: Predictive Defect Analysis for Releases
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AI in Software Testing: Predictive Defect Analysis for Releases
AI in software testing enables predictive defect analysis by leveraging historical data and code behavior patterns to identify high-risk areas before bugs occur. This approach helps teams improve accuracy and speed in modern release cycles. What Is Predictive Defect Analysis? Using machine learning models, predictive defect analysis is a proactive method that predicts the locations of software codebase defects. Predictive analysis uses historica…
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