Code churn: a measure for estimating the impact of code change

This study presents a methodology that will produce a viable fault surrogate and demonstrates the effectiveness of code complexity churn by validating it against the testing problem reports.

Abstract

This study presents a methodology that will produce a viable fault surrogate. The focus of the effort is on the precise measurement of software development process and product outcomes. Tools and processes for the static measurement of the source code have been installed and made operational in a large embedded software system. Source code measurements have been gathered unobtrusively for each build in the software evolution process. The measurements are synthesized to obtain the fault surrogate. The complexity of sequential builds is compared and a new measure, code churn, is calculated. This paper demonstrates the effectiveness of code complexity churn by validating it against the testing problem reports.