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

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

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...

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Bibliographic Details
Main Authors:	Bala, Yahaya Zakariyau, Samat, Pathiah Abdul, Sharif, Khaironi Yatim, Manshor, Noridayu
Format:	Article
Language:	English
Published:	Universitas Ahmad Dahlan 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/113069/ http://psasir.upm.edu.my/id/eprint/113069/1/113069.pdf

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