An Empirical Study of Classifier Combination on Cross-Project Defect Prediction
To help developers better allocate 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 past history of buggy classes. These techniques work well as lo...
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Main Authors: | ZHANG, Yun, David LO, XIA, Xin, SUN, Jianling |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3099 https://ink.library.smu.edu.sg/context/sis_research/article/4099/viewcontent/compsac15_combination.pdf |
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Institution: | Singapore Management University |
Language: | English |
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