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...
| Hauptverfasser: | , , , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Universitas Ahmad Dahlan
2024
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| Online Zugang: | http://psasir.upm.edu.my/id/eprint/113069/1/113069.pdf |