Author:
Liu Guangliang,Liu Huaming,Ding Fei,Yao Zhonghua
Publisher
Springer International Publishing
Reference14 articles.
1. Ni, C., Liu, W.-S., Chen, X., Gu, Q., Chen, D.-X., Huang, Q.-G.: A cluster based feature selection method for cross-project software defect prediction. J. Comput. Sci. Technol. 32(6), 1090–1107 (2017). https://doi.org/10.1007/s11390-017-1785-0
2. Ryu, D., Jang, J.-I., Baik, J.: A hybrid instance selection using nearest-neighbor for cross-project defect prediction. J. Comput. Sci. Technol. 30(5), 969–980 (2015). https://doi.org/10.1007/s11390-015-1575-5
3. Strate, J.D., Laplante, P.A.: A literature review of research in software defect reporting. IEEE Trans. Reliab. 62(2), 444–454 (2013)
4. Zhang, T., Chen, J., Geunseok, Y., Byungjeong, L., Luo, X.: Towards more accurate severity prediction and fixer recommendation of software bugs. J. Syst. Softw. 117, 166–184 (2016)
5. Ahmed, L., Serge, D., Emanuel, G., Bart, G.: Predicting the severity of a reported bug. In: Proceedings of the 7th International Working Conference on Mining Software Repositories, pp. 1–10.IEEE, Cape Town (2010)