Enhancing the Performance of Software Defect Prediction Model by Alleviating the Class Imbalance Problem

Abstract

Software and its applications have been a prominent component in every aspect and field of engineering, either it be manufacturing, finance, medicine, automobile, and so on. Delivering high-quality software components has been the cornerstone of the Software engineering domain, which is enhanced by the use of early prediction techniques. Detecting the defect before testing activities improves the testing process and enhances the quality of the Software. newlineSoftware Defect Prediction (SDP) is the process of tracing defective or faulty software artifacts, i.e., classes, functions, or modules, before the testing process, which aids the testing activity by effectively allocating the resources toward defective components. SDP identifies the defect proneness of the software components using its underlying properties, i.e., various metrics components used to assess the component quality during different stages of software development newline