The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis

• المؤلفون الرئيسيون: Bala, Yahaya Zakariyau, Samat, Pathiah Abdul, Sharif, Khaironi Yatim, Manshor, Noridayu
• التنسيق: مقال
• اللغة: English
• منشور في: Universitas Ahmad Dahlan 2024
• الوصول للمادة أونلاين: http://psasir.upm.edu.my/id/eprint/113069/1/113069.pdf; http://psasir.upm.edu.my/id/eprint/113069/; https://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/25916

This empirical investigation delves into the influence of machine learning (ML) algorithms in the realm of cross-project defect prediction, employing the AEEEEM dataset as a foundation. The primary objective is to discern the nuanced influences of various algorithms on predictive performance, with a...