A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
Proceedings of the 20th international conference on Software engineering
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
Analyzing and Relating Bug Report Data for Feature Tracking
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
An Empirical Study of Open-Source and Closed-Source Software Products
IEEE Transactions on Software Engineering
Empirical Software Engineering
Use of relative code churn measures to predict system defect density
Proceedings of the 27th international conference on Software engineering
Predicting the Location and Number of Faults in Large Software Systems
IEEE Transactions on Software Engineering
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Proceedings of the 28th international conference on Software engineering
Mining metrics to predict component failures
Proceedings of the 28th international conference on Software engineering
A Linguistic Analysis of How People Describe Software Problems
VLHCC '06 Proceedings of the Visual Languages and Human-Centric Computing
ICSEW '07 Proceedings of the 29th International Conference on Software Engineering Workshops
Local and Global Recency Weighting Approach to Bug Prediction
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Improving defect prediction using temporal features and non linear models
Ninth international workshop on Principles of software evolution: in conjunction with the 6th ESEC/FSE joint meeting
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Quality of bug reports in Eclipse
Proceedings of the 2007 OOPSLA workshop on eclipse technology eXchange
Is it a bug or an enhancement?: a text-based approach to classify change requests
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
The secret life of bugs: Going past the errors and omissions in software repositories
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Fair and balanced?: bias in bug-fix datasets
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
The missing links: bugs and bug-fix commits
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Data quality: cinderella at the software metrics ball?
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
Ownership, experience and defects: a fine-grained study of authorship
Proceedings of the 33rd International Conference on Software Engineering
ReLink: recovering links between bugs and changes
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
BugCache for inspections: hit or miss?
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Proceedings of the 34th International Conference on Software Engineering
Multi-layered approach for recovering links between bug reports and fixes
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Analyzing OSS Project Health with Heterogeneous Data Sources
International Journal of Open Source Software and Processes
Proceedings of the 10th Working Conference on Mining Software Repositories
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Software process data gathered from bug tracking databases and version control system log files are a very valuable source to analyze the evolution and history of a project or predict its future. These data are used for instance to predict defects, gather insight into a project's life-cycle, and additional tasks. In this paper we survey five open source projects and one closed source project in order to provide a deeper insight into the quality and characteristics of these often-used process data. Specifically, we first define quality and characteristics measures, which allow us to compare the quality and characteristics of the data gathered for different projects. We then compute the measures and discuss the issues arising from these observation. We show that there are vast differences between the projects, particularly with respect to the quality in the link rate between bugs and commits.