The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Mining metrics to predict component failures
Proceedings of the 28th international conference on Software engineering
Predicting component failures at design time
Proceedings of the 2006 ACM/IEEE international symposium on Empirical 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
Predicting Subsystem Failures using Dependency Graph Complexities
ISSRE '07 Proceedings of the The 18th IEEE International Symposium on Software Reliability
Predicting defects using network analysis on dependency graphs
Proceedings of the 30th international conference on Software engineering
Review: A systematic review of software fault prediction studies
Expert Systems with Applications: An International Journal
Predicting vulnerable software components with dependency graphs
Proceedings of the 6th International Workshop on Security Measurements and Metrics
Which is the right source for vulnerability studies?: an empirical analysis on Mozilla Firefox
Proceedings of the 6th International Workshop on Security Measurements and Metrics
After-life vulnerabilities: a study on firefox evolution, its vulnerabilities, and fixes
ESSoS'11 Proceedings of the Third international conference on Engineering secure software and systems
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Factors characterizing reopened issues: a case study
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Talk versus work: characteristics of developer collaboration on the jazz platform
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
Understanding regression failures through test-passing and test-failing code changes
Proceedings of the 2013 International Conference on Software Engineering
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Software development is a complex and error-prone task. An important factor during the development of complex systems is the understanding of the dependencies that exist between different pieces of the code. In this paper, we show that for Windows Server 2003 dependency data can predict the defect-proneness of software elements. Since most dependencies of a component are already known in the design phase, our prediction models can support design decisions.