Software Defect Prediction (SDP) models are used to predict, whether software is clean or buggy using the historical …

This article describes how classification methods on software defect prediction is widely researched due to the need to … effects and accuracy of genetic programming on software defect prediction. To find solutions for this problem, a comparative … software defect prediction experiment between genetic programming and neural networks are performed on four datasets from the …

circumstances. Therefore, more research is needed to evaluate the performance of ensemble algorithms in software defect prediction …. The goal of this paper is to assess the quality of ensemble methods in software defect prediction with the analytic … software defect prediction in general and AdaBoost gives the best results. In addition, tree and rule based classifiers perform …

. Software defect prediction techniques and tools that identify software errors play a crucial role in software risk management …. Among software defect prediction techniques, classification is a commonly used approach. Various types of classifiers have … been applied to software defect prediction in recent years. How to select an adequate classifier (or set of classifiers) to …