Examining the performance of kernel methods for software defect prediction based on support vector machine
Abstract Support Vector Machine (SVM) has been widely used to build software defect
prediction models. Prior studies compared the accuracy of SVM to other machine learning …
prediction models. Prior studies compared the accuracy of SVM to other machine learning …
On Selection of Optimal Kernel Function for Software Defect Prediction
Software defect prediction is used to identify the most likely defect-prone modules. This
activity can help the quality assurance team to distribute limited resources efficiently as well …
activity can help the quality assurance team to distribute limited resources efficiently as well …