Proceedings of the 28th international conference on Software engineering
How long did it take to fix bugs?
Proceedings of the 2006 international workshop on Mining software repositories
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Assigning bug reports using a vocabulary-based expertise model of developers
MSR '09 Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories
Improving bug triage with bug tossing graphs
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Optimized assignment of developers for fixing bugs an initial evaluation for eclipse projects
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Predicting the fix time of bugs
Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering
Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging
ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance
Bug-fix time prediction models: can we do better?
Proceedings of the 8th Working Conference on Mining Software Repositories
Fuzzy set and cache-based approach for bug triaging
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Inferring developer expertise through defect analysis
Proceedings of the 34th International Conference on Software Engineering
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Bugs are prevalent in software systems and improving time efficiency in bug fixing is desired. We performed an analysis on 11,115 bug records of Eclipse JDT and found that bug resolution time is log-normally distributed and varies across fixers, technical topics, and bug severity levels. We then propose FixTime, a novel method for bug assignment. The key of FixTime is a topicbased, log-normal regression model for predicting defect resolution time on which FixTime is based to make fixing assignment recommendations. Preliminary results suggest that FixTime has higher prediction accuracy than existing approaches.