P. J. Guo, T. Zimmermann, N. Nagappan, and B. Murphy, "Not my bug!" and other reasons for software bug report reassignments, Proceedings of the ACM 2011 conference on Computer supported cooperative work, CSCW '11, pp.395-404, 2011.
DOI : 10.1145/1958824.1958887

K. Herzig, S. Just, and A. Zeller, It's not a bug, it's a feature: How misclassification impacts bug prediction, 2013 35th International Conference on Software Engineering (ICSE), pp.392-401, 2013.
DOI : 10.1109/ICSE.2013.6606585

T. Chen, M. Nagappan, E. Shihab, and A. E. Hassan, An empirical study of dormant bugs, Proceedings of the 11th Working Conference on Mining Software Repositories, MSR 2014, pp.82-91, 2014.
DOI : 10.1145/2597073.2597108

E. Shihab, A. Ihara, Y. Kamei, W. Ibrahim, M. Ohira et al., Studying re-opened bugs in open source software, Empirical Software Engineering, vol.11, issue.3, pp.1005-1042, 2013.
DOI : 10.1007/s10664-012-9228-6

G. Canfora, M. Ceccarelli, L. Cerulo, and M. D. Penta, How Long Does a Bug Survive? An Empirical Study, 2011 18th Working Conference on Reverse Engineering, pp.191-200, 2011.
DOI : 10.1109/WCRE.2011.31

F. Zhang, F. Khomh, Y. Zou, and A. E. Hassan, An Empirical Study on Factors Impacting Bug Fixing Time, 2012 19th Working Conference on Reverse Engineering, pp.225-234, 2012.
DOI : 10.1109/WCRE.2012.32

N. Bettenburg, R. Premraj, T. Zimmermann, and S. Kim, Duplicate bug reports considered harmful … really?, 2008 IEEE International Conference on Software Maintenance, pp.337-345, 2008.
DOI : 10.1109/ICSM.2008.4658082

N. Bettenburg, S. Just, A. Schröter, C. Weiss, R. Premraj et al., What makes a good bug report?, Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering, SIGSOFT '08/FSE-16, pp.308-318, 2008.
DOI : 10.1145/1453101.1453146

G. Bortis and A. Van-der-hoek, PorchLight: A tag-based approach to bug triaging, 2013 35th International Conference on Software Engineering (ICSE), pp.342-351, 2013.
DOI : 10.1109/ICSE.2013.6606580

J. Anvik, L. Hiew, and G. C. Murphy, Who should fix this bug? " in ICSE, pp.361-370, 2006.

E. Giger, M. Pinzger, and H. Gall, Predicting the fix time of bugs, Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering, RSSE '10, pp.52-56, 2010.
DOI : 10.1145/1808920.1808933

H. Zhang, L. Gong, and S. Versteeg, Predicting bug-fixing time: An empirical study of commercial software projects, 2013 35th International Conference on Software Engineering (ICSE), pp.1042-1051, 2013.
DOI : 10.1109/ICSE.2013.6606654

A. Lamkanfi, S. Demeyer, E. Giger, and B. Goethals, Predicting the severity of a reported bug, 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010), pp.1-10, 2010.
DOI : 10.1109/MSR.2010.5463284

Y. Tian, D. Lo, and C. Sun, DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis, 2013 IEEE International Conference on Software Maintenance, pp.200-209, 2013.
DOI : 10.1109/ICSM.2013.31

R. K. Saha, M. Lease, S. Khurshid, and D. E. Perry, Improving bug localization using structured information retrieval, 2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp.345-355, 2013.
DOI : 10.1109/ASE.2013.6693093

J. Zhou, H. Zhang, and D. Lo, Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports, 2012 34th International Conference on Software Engineering (ICSE), pp.14-24, 2012.
DOI : 10.1109/ICSE.2012.6227210

R. K. Saha, S. Khurshid, D. E. Perry, and C. Wcre, An empirical study of long lived bugs, 2014 Software Evolution Week, IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE), pp.144-153, 2014.
DOI : 10.1109/CSMR-WCRE.2014.6747164

]. A. Lamkanfi, S. Demeyer, Q. D. Soetens, and T. Verdonck, Comparing Mining Algorithms for Predicting the Severity of a Reported Bug, 2011 15th European Conference on Software Maintenance and Reengineering, pp.249-258, 2011.
DOI : 10.1109/CSMR.2011.31

Y. Tian, D. Lo, and C. Sun, Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction, 2012 19th Working Conference on Reverse Engineering, pp.215-224, 2012.
DOI : 10.1109/WCRE.2012.31

G. Antoniol, K. Ayari, M. D. Penta, F. Khomh, and Y. Guéhéneuc, Is it a bug or an enhancement?, Proceedings of the 2008 conference of the center for advanced studies on collaborative research meeting of minds, CASCON '08, p.23, 2008.
DOI : 10.1145/1463788.1463819

A. Lamkanfi, J. Pérez, and S. Demeyer, The Eclipse and Mozilla defect tracking dataset: A genuine dataset for mining bug information, 2013 10th Working Conference on Mining Software Repositories (MSR), pp.203-206, 2013.
DOI : 10.1109/MSR.2013.6624028

A. Murgia, J. Pérez, S. Demeyer, C. De-roover, C. Scholliers et al., Predicting bug-fixing time using bug change history, p.20, 2013.

N. Japkowicz, Learning from imbalanced data sets: A comparison of various strategies, Proceeding of the AAAi Workshop on Learning from Imbalanced Data Sets. AAAi, pp.10-15, 2000.

R. Rosenthal and R. L. Rosnow, Essentials of behavioral research: Methods and data analysis, 1991.

R. Shokripour, J. Anvik, Z. M. Kasirun, and S. Zamani, Why so complicated? Simple term filtering and weighting for location-based bug report assignment recommendation, 2013 10th Working Conference on Mining Software Repositories (MSR), pp.2-11, 2013.
DOI : 10.1109/MSR.2013.6623997

D. Huo, T. Ding, C. Mcmillan, and M. Gethers, An Empirical Study of the Effects of Expert Knowledge on Bug Reports, 2014 IEEE International Conference on Software Maintenance and Evolution, pp.1-10, 2014.
DOI : 10.1109/ICSME.2014.22

T. Menzies and A. Marcus, Automated severity assessment of software defect reports, 2008 IEEE International Conference on Software Maintenance, pp.346-355, 2008.
DOI : 10.1109/ICSM.2008.4658083

P. Bhattacharya, M. Iliofotou, I. Neamtiu, and M. Faloutsos, Graphbased analysis and prediction for software evolution, ICSE, pp.419-429, 2012.

P. Hooimeijer and W. Weimer, Modeling bug report quality, Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering , ASE '07, pp.34-43, 2007.
DOI : 10.1145/1321631.1321639

C. Bird, A. Bachmann, E. Aune, J. Duffy, A. Bernstein et al., Fair and balanced?, Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering on European software engineering conference and foundations of software engineering symposium, ESEC/FSE '09, pp.121-130, 2009.
DOI : 10.1145/1595696.1595716

T. H. Nguyen, B. Adams, and A. E. Hassan, A Case Study of Bias in Bug-Fix Datasets, 2010 17th Working Conference on Reverse Engineering, pp.259-268, 2010.
DOI : 10.1109/WCRE.2010.37

S. Kim, H. Zhang, R. Wu, and L. Gong, Dealing with noise in defect prediction, Proceeding of the 33rd international conference on Software engineering, ICSE '11, pp.481-490, 2011.
DOI : 10.1145/1985793.1985859

F. Rahman, D. Posnett, I. Herraiz, and P. Devanbu, Sample size vs. bias in defect prediction, Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2013, pp.147-157, 2013.
DOI : 10.1145/2491411.2491418

P. S. Kochhar, Y. Tian, and D. Lo, Potential biases in bug localization, Proceedings of the 29th ACM/IEEE international conference on Automated software engineering, ASE '14, pp.803-814, 2014.
DOI : 10.1145/2642937.2642997