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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Bibliographic Details
Main Authors: ZHANG, Yun, LO, David, XIA, Xin, SUN, Jianling
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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
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