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 …

) approach was chosen and used for this research initiative to better support business driven quality improvement. Software … defect density data was collected and analyzed to identify significant deviations in the software development life cycle …

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 … ensemble methods using 13 different performance metrics over 10 public-domain software defect datasets from the NASA Metrics …