Automatic Mining of Source Code Repositories to Improve Bug Finding Techniques
IEEE Transactions on Software Engineering
Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction
IEEE Transactions on Software Engineering
Proceedings of the 2006 ACM symposium on Applied computing
Common refactorings, a dependency graph and some code smells: an empirical study of Java OSS
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
A framework for the simulation of structural software evolution
ACM Transactions on Modeling and Computer Simulation (TOMACS)
An interactive reverse engineering environment for large-scale C++ code
Proceedings of the 4th ACM symposium on Software visualization
A Framework for Reverse Engineering Large C++ Code Bases
Electronic Notes in Theoretical Computer Science (ENTCS)
DeFacto: Language-Parametric Fact Extraction from Source Code
Software Language Engineering
Assessing software product maintainability based on class-level structural measures
PROFES'06 Proceedings of the 7th international conference on Product-Focused Software Process Improvement
Concept location using formal concept analysis and information retrieval
ACM Transactions on Software Engineering and Methodology (TOSEM)
A Longitudinal Study of Fan-In and Fan-Out Coupling in Open-Source Systems
International Journal of Information System Modeling and Design
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Open source software systems are becoming increasingly important these days. Many companies are investing in open source projects and lots of them are also using such software in their own work. But because open source software is often developed without proper management the quality and reliability of the code may be uncertain. The quality of the code needs to be measured and this can be done only with the help of proper tools. In this paper we will describe a framework called Columbus with which we calculate the object oriented metrics validated by Basili et al. for illustrating how fault-proneness detection from the open source web and e-mail suite called Mozilla can be done. We will also compare the metrics of several versions of Mozilla to see how the predicted fault-proneness of the software system changed during its development. The Columbus framework has been further developed recently with a compiler wrapping technology that now gives us the possibility of automatically analyzing and extracting information from software systems without modifying any of the source code or makefiles. We will also introduce our fact extraction process here to show what logic drives the various tools of the Columbus framework and what steps need to be taken to obtain the desired facts.