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Cross-Version Defect Prediction using Cross-Project Defect Prediction Approaches
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018Background: Specifying and removing defects before release deserve extra cost for the success of software projects. Long-running projects experience multiple releases, and it is a natural choice to adopt cross-version defect prediction (CVDP) that uses information from older versions. A past study shows that feeding multi older versions data may have a
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eCPDP: Early Cross-Project Defect Prediction
2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS), 2021Sunjae Kwon, Duksan Ryu, Jongmoon Baik
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Exploiting Correlation Subspace to Predict Heterogeneous Cross-Project Defects
International Journal of Software Engineering and Knowledge Engineering, 2016Cross-project defect prediction trains a prediction model using historical data from source projects and applies the model to target projects. Most previous efforts assumed the cross-project data have the same metrics set, which means the metrics used and the size of metrics set are the same.
Ming Cheng +5 more
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Adversarial domain adaptation for cross-project defect prediction
Empirical Software Engineering, 2023Hengjie Song +5 more
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An Evaluation of Cross-Project Defect Prediction Approaches on Cross-Personalized Defect Prediction
2022Sousuke Amasaki +2 more
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CFPS: Collaborative filtering based source projects selection for cross-project defect prediction
Applied Soft Computing Journal, 2021Zhongbin Sun
exaly
Source selection and transfer defect learning based cross-project defect prediction
International Journal of Computing Science and Mathematics, 2022Wanzhi Wen +6 more
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Cross-Project Online Just-In-Time Software Defect Prediction
IEEE Transactions on Software Engineering, 2023Sadia Tabassum +2 more
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Cross-Project Defect Prediction Considering Multiple Data Distribution Simultaneously
Symmetry, 2022Yi Zhu, Qiao Yu, Yu Zhao
exaly