Understanding and Aiding Code Evolution by Inferring Change Patterns

Authors:
Miryung Kim
Affiliations:
University of Washington, Seattle, USA
Venue:
ICSE COMPANION '07 Companion to the proceedings of the 29th International Conference on Software Engineering
Year:
2007

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Abstract

Evolution continues to play an ever-increasing role in software engineering. Although changing a program is the core of software evolution, program change patterns have not been considered as a first class entity in most classic studies of software evolution. Past empirical studies of software evolution primarily relied on quantitative and statistical analyses of a programover time [1], but did not focus on semantic and qualitative change patterns of a program. We hypothesize that by treating change patterns as first class entities we can better understand software evolution and also aid programmers in changing software.