Dynamic Distribution Adaptation in Transfer Learning for Cross-Project Just-in-Time Defect Prediction: A Synergistic Approach Incorporating Kernel Variance Matching, Correlation Alignment, and Categorical Boosting-Reference-Cited by-同舟云学术

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Dynamic Distribution Adaptation in Transfer Learning for Cross-Project Just-in-Time Defect Prediction: A Synergistic Approach Incorporating Kernel Variance Matching, Correlation Alignment, and Categorical Boosting

Published:2024 Issue: Volume: Page:
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Author:

Dai Hongming,Xi Jianqing,Dai Hong-Liang

Publisher

Elsevier BV

Reference46 articles.

1. Software Fault Prediction

2. Method-level bug prediction;E Giger;Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering and Measurement,2012

3. Use of relative code churn measures to predict system defect density;N Nagappan;Proceedings of the 27th International Conference on Software Engineering -ICSE '05. Presented at the 27th International Conference,2005

4. A large-scale empirical study of just-in-time quality assurance;Y Kamei;IEEE Transactions on Software Engineering,2013

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