Predicting defects using network analysis on dependency graphs
Proceedings of the 30th international conference on Software engineering
Predicting defects with program dependencies
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Simulating evolution in model-based product line engineering
Information and Software Technology
Putting it all together: using socio-technical networks to predict failures
ISSRE'09 Proceedings of the 20th IEEE international conference on software reliability engineering
Failure preventing recommendations
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Empirical software engineering at Microsoft Research
Proceedings of the ACM 2011 conference on Computer supported cooperative work
A practice-driven systematic review of dependency analysis solutions
Empirical Software Engineering
Influence of confirmation biases of developers on software quality: an empirical study
Software Quality Control
Journal of Systems and Software
Parallel execution of prioritized test cases for regression testing of web applications
ACSC '13 Proceedings of the Thirty-Sixth Australasian Computer Science Conference - Volume 135
A study of cyclic dependencies on defect profile of software components
Journal of Systems and Software
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In any software project, developers need to be aware of existing dependencies and how they affect their system. We investigated the architecture and dependencies of Windows Server 2003 to show how to use the complexity of a subsystem's dependency graph to predict the number of failures at statistically significant levels. Such estimations can help to allocate software quality resources to the parts of a product that need it most, and as early as possible.