AI RESEARCH
A Feature-Driven Framework for Software Fault Prediction
arXiv CS.LG
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ArXi:2605.17611v1 Announce Type: cross Software fault prediction (SFP) is a critical task in software engineering, enabling early identification of faults in modules to improve software quality and reduce maintenance costs. This research investigates the combined effects of feature selection and parameter tuning on the performance of machine learning (ML) models for