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

• 主要な著者: Bala, Yahaya Zakariyau, Samat, Pathiah Abdul, Sharif, Khaironi Yatim, Manshor, Noridayu
• フォーマット: 論文
• 言語: English
• 出版事項: Universitas Ahmad Dahlan 2024
• オンライン･アクセス: 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...