Acknowledgement
Supported by : 한국연구재단
References
- G. Jeong, S. Kim and T. Zimmermann, "Improving Bug Triage with Bug Tossing Graphs," Proc. of Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, pp. 111-120, 2009.
- N. Jalbert and W. Weimer, "Automated Duplicate Detection for Bug Tracking Systems," Proc. of International Conference on Dependable System & Networks, pp. 52-61, 2008.
- J. Xuan, H. Jiang, Z. Ren, J. Yan and Z. Luo, "Automatic Bug Triage using Semi-Supervised Text Classification," Proc. of International Conference on Software Engineering and Knowledge Engineering, pp. 209-214, 2010.
- Y. Tian, D. Lo and C. Sun, "Information Retrieval based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction," Proc. of Working Conference on Reverse Engineering, pp. 215-224, 2012.
- A. Lamkanfi, S. Demeyer, Q. D. Soetens and T. Verdonck, "Comparing Mining Algorithms for Predicting the Severity of a Reported Bug," Proc. of European Conference on Software Maintenance and Reengineering, pp. 249-258, 2011.
- T. Menzies and A. Marcus, "Automated Severity Assessment of Software Defect Reports," Proc. of International Conference on Software Maintenance, pp. 346-355, 2008.
- G. Yang, T. Zhang and B. Lee, "Towards Semi-Automatic Bug Triage and Severity Prediction based on Topic Model and Multi-Feature of Bug Reports," Proc. of Annual International Computers, Software and Applications Conference, pp. 97-106, 2014.
- N.K.S. Roy and B. Rossi, "Towards an Improvement of Bug Severity Classification," Proc. of 40th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), pp. 269-276, 2014.
- The stanford natural language processing group, "Stanford topic modelling toolbox," in http://nlp.stanford.edu/software/tmt/tmt-0.4/, 2009.
- C. Friedman, P. Kra, H. Yu, M. Krauthammer and A. Rzhetsky, "GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles," in Bioinformatics, Vol. 17, pp. S74-S82, 2001. https://doi.org/10.1093/bioinformatics/17.suppl_1.S74
- R. Kohavi, "A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection," Proc. of Joint Conference on Artificial Intelligence, pp. 1137-1143, 1995.