Using active learning selection approach for cross-project software defect prediction

Using active learning selection approach for cross-project software defect prediction

Cross-project defect prediction (CPDP) technology can effectively ensure software quality, which plays an important role in software engineering. When encountering a newly developed project with insufficient training data, CPDP can be used to build defect predictors using other projects. However, CP...

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Bibliographic Details
Main Authors: Wenbo Mi, Yong Li, Ming Wen, Youren Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
active learning
cross-project
software defect prediction
transfer learning
Online Access:http://dx.doi.org/10.1080/09540091.2022.2077913
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http://dx.doi.org/10.1080/09540091.2022.2077913

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