Combined classifier for cross-project defect prediction: An extended empirical study
To facilitate developers in effective allocation of their testing and debugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes that are more likely to be buggy based on the past history of classes, methods, or...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4128 https://ink.library.smu.edu.sg/context/sis_research/article/5131/viewcontent/Combined_classifier_for_cross_project_defect_prediction.pdf |
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| Institution: | Singapore Management University |
| Language: | English |