Author:
Wu Di,Zhang Jiangjiang,Geng Shaojin,Cai Xingjuan,Zhang Guoyou
Reference29 articles.
1. Sommerville, I.: Softw. Eng. 8(12), 1226–1241 (2008)
2. Elish, K.O., Elish, M.O.: Predicting defect-prone software modules using support vector machines. J. Syst. Softw. 81(5), 649–660 (2008)
3. Canfora, A.D.L.G., Penta, M.D., Oliveto, R., Panichella, A.: Multi-objective cross-project defect prediction. In: IEEE Sixth International Conference on Software Testing, Verification and Validation, pp. 252–261. IEEE Computer Society, Luxembourg (2013)
4. Malhotra, R.: A systematic review of machine learning techniques for software fault prediction. Appl. Soft Comput. J. 27, 504–518 (2015)
5. Vapnik, V., Golowich, S.E., Smola, A.: Support vector method for function approximation, regression estimation, and signal processing. Adv. Neural Inf. Process. Syst. 9, 281–287 (1996)
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献