Software defect prediction based on manifold learning in subspace selection-Reference-Cited by-同舟云学术

Software defect prediction based on manifold learning in subspace selection

Published:2016 Issue: Volume: Page:
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Container-title:Proceedings of the 2016 International Conference on Intelligent Information Processing - ICIIP '16
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Author:

Gao Yan¹,Yang Chunhui²

Affiliation:

1. CEPREI, Software Research Center and South China University of Technology, Guangzhou

2. CEPREI, Software Research Center and MIIT Guangzhou

Funder

Postdoctoral Science Foundation of China, GDSTP

Publisher

ACM Press

Reference17 articles.

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2. D. Rodriguez, R. Ruiz, J. Cuadrado-Gallego and J. 2007. Aguilar-Ruiz, Detecting fault modules applying feature selection to classifiers, inProceedings of 8th IEEE International Conference on Information Reuse and Integration, Las Vegas, Nevada, pp. 667--672.

3. D. Rodríguez, R. Ruiz, J. Cuadrado-Gallego. 2007. J. Aguilar-Ruiz and M. Garre, Attribute selection in software engineering datasets for detecting fault modules, inProceedings of 33rd EUROMICRO Conference on Software Engineering and Advanced Applications, Lübeck, Germany, pp. 418--423.

4. Z. Chen, T. Menzies, D. Port and B. Boehm. 2005. Finding the right data for software cost modeling,IEEE Software22(6), pp 38--46.

5. H. Wang, T. M. Khoshgoftaar, K. Gao and N. Seliya. 2009. Mining data from multiple software development projects, inProceedings of 2009 IEEE International Conference on Data Mining Workshops, Miami, Florida, pp. 551--557.

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