Multi-source Cross Project Defect Prediction with Joint Wasserstein Distance and Ensemble Learning
Author:
Affiliation:
1. The School of Software Engineering, South China University of Technology,Guangzhou,China
2. The School of Computer Science and Engineering, South China University of Technology,Guangzhou,China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9700160/9700163/09700218.pdf?arnumber=9700218
Reference41 articles.
1. The Impact of Automated Parameter Optimization on Defect Prediction Models
2. An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
3. Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation
4. Multi-projection of unequal dimension optimal transport theory for Generative Adversary Networks
5. Selective Transfer Machine for Personalized Facial Action Unit Detection
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2. MASTER: Multi-Source Transfer Weighted Ensemble Learning for Multiple Sources Cross-Project Defect Prediction;IEEE Transactions on Software Engineering;2024-05
3. Vulnerability Name Prediction Based on Enhanced Multi-Source Domain Adaptation;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
4. Cross-Project Software Defect Prediction with Subdomain Adaptation;2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE);2023-10-20
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