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AI-Powered Defect Prediction: From Code Smells to Failure Forecasting

2025-06-09

Abstract excerpt

<title>Abstract</title> <p>Manual flaw discovery becomes even more insufficient as software systems grow in complexity. From early signs like code smells to late-stage system failures, this systematic study investigates the use of artificial intelligence (AI) and machine learning (ML) approaches to anticipate software problems across several phases of the software lifetime. 500 peer-reviewed papers released betwe...

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Literature Corpus work: 83568896-1bb1-5a29-a7ac-e829ae4d81f9
DOI: 10.21203/rs.3.rs-6792823/v1

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