inventory models do not consider defect rate, which is the main determinant of product quality. Also, in real working … environments, machines break down after long operating times, which increases product defect rate. Therefore, an effective … inventory problem. To answer the above questions regarding varying defect rate, preventive maintenance and rework, this study …

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 …

regression-based models show a correlation between selected software attributes and defect-proneness, in most cases, they are … causal model for identifying defect-prone software artifacts based on their change history and software development …. Under this assumption, the SDPM estimates the defect content of software artifacts based on software change history and …

defect density data was collected and analyzed to identify significant deviations in the software development life cycle ….. The results of the initial analysis on the transformed defect-tracking data helped identify the negatively affected areas … change in defect density, the effectiveness of using GQM has also provided valuable insights for process improvement. Based …