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Heterogeneous Cross Project Defect Prediction – A Survey
2020In the testing phase of Software Development Life Cycle (SDLC), Software Defect Prediction (SDP) is one of the pivotal task which finds the modules that are more vulnerable to defects and therefore need substantial testing for the early identification of these defects. A lot of work has been done on Cross - Project Defect Prediction (CPDP) that aims to
Rohit Vashisht, Syed Afzal Murtaza Rizvi
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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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Analytical Approach to Cross Project Defect Prediction
2020Ensuring software quality has been an issue since the very beginning of software industry. Now with the advancement in technology, tools and development cycles, new paradigms have emerged to tackle the challenges of software quality management. Software defect prediction (SDP) is one of those to help recognize the code blocks, classes, methods or files
Vikas Suhag +3 more
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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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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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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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