A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Deriving models of software fault-proneness
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
An empirical evaluation of fault-proneness models
Proceedings of the 24th International Conference on Software Engineering
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
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
Toward Understanding the Rhetoric of Small Source Code Changes
IEEE Transactions on Software Engineering
Mining metrics to predict component failures
Proceedings of the 28th international conference on Software engineering
Looking for bugs in all the right places
Proceedings of the 2006 international symposium on Software testing and analysis
Predicting fault-prone components in a java legacy system
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Using Developer Information as a Factor for Fault Prediction
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Information and Software Technology
Ownership, experience and defects: a fine-grained study of authorship
Proceedings of the 33rd International Conference on Software Engineering
Reducing test effort: A systematic mapping study on existing approaches
Information and Software Technology
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During the lifetime of a project, a huge amount of information is generated, e.g. in versioning systems or bug data bases. When analysed appropriately, the knowledge about the previous project characteristics allows estimating the project's future evolution. For example, it is very valuable to know particular history characteristics of a file indicating its fault proneness because it helps testers to focus their testing effort on these specific files. In this paper, we present the results of an empirical study, exploring the relationship between history characteristics of software entities and their defects. For this purpose, we analyze 9 open source java projects. The results show that there are some history characteristics that highly correlate with defects in software, e.g. the number of changes and the number of distinct authors performing changes to a file. The number of co-changed files does not correlate with the defect count.