References

Anvik, J. and G.C. Murphy, 2011. Reducing the effort of bug report triage: Recommenders for development-oriented decisions. ACM. Trans. Software Eng. Method., Vol. 20, 10.1145/2000791.2000794

Bettenburg, N., R. Premraj, T. Zimmermann and S. Kim, 2008. Duplicate bug reports considered harmful really?. Proceeding of the IEEE International Conference on Software Maintenance, September 28-October 4, 2008, IEEE, Beijing, China, ISBN: 978-1-4244-2613-3, pp: 337-345.

Bettenburg, N., R. Premraj, T. Zimmermann and S. Kim, 2008. Extracting structural information from bug reports. Proceedings of the 2008 International Working Conference on Mining Software Repositories, May 10-18, 2008, ACM, Leipzig, Germany, ISBN: 978-1-60558-024-1, pp: 27-30.

Bolon Canedo, V., N. Sanchez-Marono and A. Alonso-Betanzos, 2013. A review of feature selection methods on synthetic data. Knowl. Inf. Syst., 34: 483-519.
CrossRef  |  Direct Link  |  

Breu, S., R. Premraj, J. Sillito and T. Zimmermann, 2010. February Information needs in bug reports: Improving cooperation between developers and users. Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, February 06-10, 2010, ACM, New York, USA., ISBN: 978-1-60558-795-0, pp: 301-310.

Khoshgoftaar, T.M., K. Gao and N. Seliya, 2010. Attribute selection and imbalanced data: Problems in software defect prediction. Proceedig of the 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), October 27-29, 2010, Arras, France, ISBN: 978-1-4244-8817-9, pp: 137-144.

Kim, S., K. Pan and E.E. Whitehead, Jr, 2006. Memories of bug fixes. Proceedings of the 14th ACM SIGSOFT International Symposium on Foundations of Software Engineering, November 05-11, 2006, ACM, SIGSOFT, New York, USA, ISBN: 1-59593-468-5, pp: 35-45.

Revathi, K.R. and S. Kirubakaran, 2016. A Survey on automatic bug triage using data mining concepts. Intl. J. Sci. Res., 5: 184-186.
Direct Link  |  

Xuan, J., H. Jiang, Y. Hu, Z. Ren and W. Zou et al., 2015. Towards effective bug triage with software data reduction techniques. Knowl. Data Eng. IEEE. Trans., 27: 264-280.
CrossRef  |  Direct Link  |