Publication: Redundancy-free analysis of multi-revision software artifacts
Redundancy-free analysis of multi-revision software artifacts
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Alexandru, C. V., Panichella, S., Proksch, S., & Gall, H. C. (2019). Redundancy-free analysis of multi-revision software artifacts. Empirical Software Engineering, 24(1), 332–380. https://doi.org/10.1007/s10664-018-9630-9
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Researchers often analyze several revisions of a software project to obtain historical data about its evolution. For example, they statically analyze the source code and monitor the evolution of certain metrics over multiple revisions. The time and resource requirements for running these analyses often make it necessary to limit the number of analyzed revisions, e.g., by only selecting major revisions or by using a coarse-grained sampling strategy, which could remove significant details of the evolution. Most existing analysis techniq
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Alexandru, C. V., Panichella, S., Proksch, S., & Gall, H. C. (2019). Redundancy-free analysis of multi-revision software artifacts. Empirical Software Engineering, 24(1), 332–380. https://doi.org/10.1007/s10664-018-9630-9