Two-stage cost-sensitive local models for heterogeneous cross-project defect prediction-Reference-Cited by-同舟云学术

Two-stage cost-sensitive local models for heterogeneous cross-project defect prediction

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Huang Yan¹,Xu Xian¹

Affiliation:

1. East China University of Science and Technology,Shanghai Key Laboratory of Trustworthy Computing,Department of Computer Science and Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842718.pdf?arnumber=9842718

Reference55 articles.

1. Canonical Correlation Analysis: Uses and Interpretation;thompson;Beverly Hills CA,1984

2. A review of feature selection techniques in bioinformatics;yvan;Bioinformatics,2007

3. Exploratory Undersampling for Class- Imbalance Learning;liu;IEEE Transactions on Systems Man & Cybernetics Part B,2009

4. Cost-sensitive boosting in software quality modeling

5. Local versus global models for effort-aware defect prediction;mezouar;Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering,0

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