Improving Software Defect Prediction Performance Using C4.5 Based Ensemble Learning with AdaBoost and Bagging Techniques

Software defect prediction (SDP) plays a crucial role in improving software quality by enabling the early detection of faulty modules during the development phase. However, class imbalance within software defect datasets remains a significant challenge that adversely impacts prediction accuracy. Th...

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Bibliografische Detailangaben

Hauptverfasser:	Dede Wintana, Dinar Ismunandar, Eka Herdit Juningsih
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	LPPM Universitas Bhinneka Nusantara 2025-12-01
Schriftenreihe:	Journal of Information and Technology
Schlagworte:	AdaBoost Bagging C4.5 Ensemble SDP
Online-Zugang:	https://jurnal.ubhinus.ac.id/index.php/J-INTECH/article/view/2121
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