An Empirical Study of Classical and Deep Learning Models for Software Defect Prediction
Software defect prediction (SDP) is a critical endeavor for enshancing software reliability and optimizing quality assurance efforts by enabling the early identification of fault-prone components within the development lifecycle. This study presents a comprehensive empirical evaluation comparing the efficacy of classic...