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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi
Harianto, Sony
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Electrical & Electronics Engineering

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The Improving Cross-Project Software Defect Prediction with CORAL-Based Domain Adaptation and Ensemble Learning Harianto, Sony
Telematika Vol 22 No 1 (2025): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v22i1.14939

Abstract

Abstract—This study presents a cross-project software defect prediction (CSDP) framework combining feature harmonization, CORAL-based domain adaptation, SMOTE balancing, PCA reduction, and ensemble classifiers: Random Forest, Logistic Regression, XGBoost, AdaBoost, and VotingClassifier. Evaluations on five AEEEM datasets (JDT, EQ, PDE, Lucene, Mylyn) in both single-source and multi-source settings show consistent improvements over baseline methods. While not outperforming deep learning models, the approach remains practical and interpretable for real-world CSDP tasks.
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