Examining the performance of kernel methods for software defect prediction based on support vector machine

M Azzeh, Y Elsheikh, AB Nassif, L Angelis - Science of Computer …, 2023 - Elsevier
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 …
被引用次数：22 相关文章

Examining the performance of kernel methods for software defect prediction based on support vector machine

M Azzeh, Y Elsheikh, AB Nassif… - Science of Computer …, 2023 - nchr.elsevierpure.com
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 …

Examining the performance of kernel methods for software defect prediction based on support vector machine

M Azzeh, E Angelis, Y Elsheikh… - Science of Computer …, 2023 - ikee.lib.auth.gr
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 algorithms …

Examining the performance of kernel methods for software defect prediction based on support vector machine

M Azzeh, Y Elsheikh, AB Nassif, L Angelis - 2023 - dl.acm.org
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 …

Examining the performance of kernel methods for software defect prediction based on support vector machine

M Azzeh, Y Elsheikh, AB Nassif, L Angelis - Science of Computer …, 2023 - Elsevier
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 …
[PDF] researchgate.net

[PDF][PDF] Examining the Performance of Kernel Methods for Software Defect Prediction Based on Support Vector Machine

M Azzeh, Y Elsheikh, AB Nassif, L Angelis - researchgate.net
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 algorithms …