A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

Author:

Khoshgoftaar Taghi M.,Gao Kehan,Napolitano Amri,Wald Randall

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Reference31 articles.

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3. Chen, Z., Menzies, T., Port, D., Boehm, B. (2005). Finding the right data for software cost modeling. IEEE Software, 22(6), 38–46.

4. Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines and other kernel-based learning methods, 2nd edn. Cambridge: Cambridge University Press.

5. Forman, G. (2003). An extensive empirical study of feature selection metrics for text classification. Journal of Machine Learning Research, 3, 1289–1305.

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