Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Software Evolution Observations Based on Product Release History
ICSM '97 Proceedings of the International Conference on Software Maintenance
Detection of Logical Coupling Based on Product Release History
ICSM '98 Proceedings of the International Conference on Software Maintenance
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
CVS Release History Data for Detecting Logical Couplings
IWPSE '03 Proceedings of the 6th International Workshop on Principles of Software Evolution
Mining Version Histories to Guide Software Changes
Proceedings of the 26th International Conference on Software Engineering
Predicting Source Code Changes by Mining Change History
IEEE Transactions on Software Engineering
Journal of Software Maintenance and Evolution: Research and Practice - Analyzing the Evolution of Large-Scale Software
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction
IEEE Transactions on Software Engineering
Are refactorings less error-prone than other changes?
Proceedings of the 2006 international workshop on Mining software repositories
An empirical study of fine-grained software modifications
Empirical Software Engineering
On the Use of Line Co-change for Identifying Crosscutting Concern Code
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Relation of code clones and change couplings
FASE'06 Proceedings of the 9th international conference on Fundamental Approaches to Software Engineering
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
Fault detection and prediction in an open-source software project
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Can complexity, coupling, and cohesion metrics be used as early indicators of vulnerabilities?
Proceedings of the 2010 ACM Symposium on Applied Computing
A machine learning approach for text categorization of fixing-issue commits on CVS
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities
Journal of Systems Architecture: the EUROMICRO Journal
Design evolution metrics for defect prediction in object oriented systems
Empirical Software Engineering
An empirical study of social networks metrics in object-oriented software
Advances in Software Engineering - Special issue on new generation of software metrics
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
The fractal dimension metric and its use to assess object-oriented software quality
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
Recovering traceability links between source code and fixed bugs via patch analysis
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering
Nothing else matters: what predictive model should I use?
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Faster issue resolution with higher technical quality of software
Software Quality Control
Do crosscutting concerns cause modularity problems?
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
The fractal dimension of software networks as a global quality metric
Information Sciences: an International Journal
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Information obtained by merging data extracted from problem reporting systems - such as Bugzilla - and versioning systems - such as Concurrent Version System (CVS) - is widely used in quality assessment approaches. This paper attempts to shed some light on threats and difficulties faced when trying to integrate information extracted from Mozilla CVS and bug repositories. Indeed, the heterogeneity of Mozilla bug reports, often dealing with non-defect issues, and lacking of traceable information may undermine validity of quality assessment approaches relying on repositories integration. In the reported Mozilla case study, we observed that available integration heuristics are unable to recover thousands of traceability links. Furthermore, Bugzilla classification mechanisms do not enforce a distinction between different kinds of maintenance activities. Obtained evidence suggests that a large amount of information is lost; we conjecture that to benefit from CVS and problem reporting systems, more systematic issue classification and more reliable traceability mechanisms are needed.