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Using Software Dependencies and Churn Metrics to Predict Field Failures: An Empirical Case Study
2007
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
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Commercial software development is a complex task that requires a thorough understanding of the architecture of the software system. We analyze the Windows Server 2003 operating system in order to assess the relationship between its software dependencies, churn measures and post-release failures. Our analysis indicates the ability of software dependencies and churn measures to be efficient predictors of post-release failures. Further, we investigate the relationship between the software
doi:10.1109/esem.2007.13
dblp:conf/esem/NagappanB07
fatcat:ha6x3mdsmvfgjjdwhbed4ynh7q