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

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2 Author(s)
Munson, J.C. ; Dept. of Comput. Sci., Idaho Univ., Moscow, ID, USA ; Elbaum, S.G.

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

Published in:

Software Maintenance, 1998. Proceedings., International Conference on

Date of Conference:

16-20 Nov 1998