1. Berenson, M.L., Goldstein, M., Levine, D.: Intermediate Statistical Methods and Applications: A Computer Package Approach, 2nd edn. Prentice-Hall (1983)
2. Chen, Z., Menzies, T., Port, D., Boehm, B.: Finding the right data for software cost modeling. IEEE Software 22(6), 38–46 (2005)
3. Forman, G.: An extensive empirical study of feature selection metrics for text classification. Journal of Machine Learning Research 3, 1289–1305 (2003)
4. Gao, K., Khoshgoftaar, T.M., Wang, H., Seliya, N.: Choosing software metrics for defect prediction: An investigation on feature selection techniques. Software: Practice and Experience. Special Issue: Practical Aspects of Search-Based Software Engineering 41(5), 579–606 (2011), doi:10.1002/spe.1043
5. Goh, L., Song, Q., Kasabov, N.: A novel feature selection method to improve classification of gene expression data. In: Chen, Y.P. (ed.) Proceedings of the Second Conference on Asia-Pacific Bioinformatics, pp. 161–166. Australian Computer Society, Darlinghurst (2004)