Exploring Advanced Techniques for Software Defect Prediction: A Comprehensive Review

In the context of this systematic review, a meticulous analysis of 20 relevant papers has been conducted, with a focused examination of the utilization and effectiveness of hybrid techniques in the prediction of software defects. This comprehensive review encompasses diverse facets, ranging from experimental design and fitness functions to performance measures and statistical tests. The synthesis of these elements provides a nuanced understanding of the landscape surrounding hybrid techniques in the context of SDP. The discerned findings underscore the promising predictive capabilities inherent in hybrid techniques, offering valuable insights for both researchers and practitioners. These insights serve as a substantive guide for the selection of appropriate methods in the SDP domain, considering factors such as experimental design and performance evaluation. Consequently, our systematic review contributes to the evolving body of knowledge in defect prediction, furnishing practical guidelines for the advancement of research and implementation in this critical facet of software development.