Empirical studies of software engineering: a roadmap
Proceedings of the Conference on The Future of Software Engineering
Two case studies of open source software development: Apache and Mozilla
ACM Transactions on Software Engineering and Methodology (TOSEM)
Free Software, Free Society: Selected Essays of Richard M. Stallman
Free Software, Free Society: Selected Essays of Richard M. Stallman
The Cathedral and the Bazaar
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Predicting the Location and Number of Faults in Large Software Systems
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Predicting fault-prone components in a java legacy system
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Predicting Defects for Eclipse
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
A Multivariate Analysis of Static Code Attributes for Defect Prediction
QSIC '07 Proceedings of the Seventh International Conference on Quality Software
Proceedings of the 30th international conference on Software engineering
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
Ensemble of software defect predictors: a case study
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Empirical Software Engineering
IEEE Transactions on Software Engineering
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
Usage of multiple prediction models based on defect categories
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
Defect prediction using social network analysis on issue repositories
Proceedings of the 2011 International Conference on Software and Systems Process
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Many corporate code developers are the beta testers of open source software.They continue testing until they are sure that they have a stable version to build their code on. In this respect defect predictors play a critical role to identify defective parts of the software. Performance of a defect predictor is determined by correctly finding defective parts of the software without giving any false alarms. Having high false alarms means testers/ developers would inspect bug free code unnecessarily. Therefore in this research we focused on decreasing the false alarm rates by using repository metrics. We conducted experiments on the data sets of Eclipse project. Our results showed that repository metrics decreased the false alarm rates on the average to 23% from 32% corresponding up to 907 less files to inspect.