Hipikat: recommending pertinent software development artifacts
Proceedings of the 25th International Conference on Software Engineering
Identifying Reasons for Software Changes Using Historic Databases
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
Facilitating software evolution research with kenyon
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Predicting Eclipse Bug Lifetimes
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
The impact of product development on the lifecycle of defects
DEFECTS '08 Proceedings of the 2008 workshop on Defects in large software systems
An analysis method for improving a bug modification process in open source software development
Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops
Predicting the fix time of bugs
Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering
Security versus performance bugs: a case study on Firefox
Proceedings of the 8th Working Conference on Mining Software Repositories
Do time of day and developer experience affect commit bugginess?
Proceedings of the 8th Working Conference on Mining Software Repositories
Bug-fix time prediction models: can we do better?
Proceedings of the 8th Working Conference on Mining Software Repositories
Improving efficiency in software maintenance
Proceedings of the 8th Working Conference on Mining Software Repositories
Operating system compatibility analysis of Eclipse and Netbeans based on bug data
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
Duplicate bug report detection with a combination of information retrieval and topic modeling
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Predicting defect numbers based on defect state transition models
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Predicting bug-fixing time: an empirical study of commercial software projects
Proceedings of the 2013 International Conference on Software Engineering
Topic-based, time-aware bug assignment
ACM SIGSOFT Software Engineering Notes
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The number of bugs (or fixes) is a common factor used to measure the quality of software and assist bug related analysis. For example, if software files have many bugs, they may be unstable. In comparison, the bug-fix time--the time to fix a bug after the bug was introduced--is neglected. We believe that the bug-fix time is an important factor for bug related analysis, such as measuring software quality. For example, if bugs in a file take a relatively long time to be fixed, the file may have some structural problems that make it difficult to make changes. In this report, we compute the bug-fix time of files in ArgoUML and PostgreSQL by identifying when bugs are introduced and when the bugs are fixed. This report includes bug-fix time statistics such as average bug-fix time, and distributions of bug-fix time. We also list the top 20 bug-fix time files of two projects.