An approach to mining call-usage patternswith syntactic context

Authors:
Huzefa Kagdi;Michael L. Collard;Jonathan I. Maletic
Affiliations:
Kent State University, Kent, OH;University of Akron, Akron, OH;Kent State University, Kent, OH
Venue:
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Year:
2007

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Abstract

An approach to mine frequently appearing ordered sets of function-call usages, taking into account their proximal control constructs (e.g., if-statements), in the source code is presented. These ordered sets are termed as call-usage patterns. Additionally, variant usages, such as those with missing or out of order calls, are automatically identified along with their specific contextual location. The approach uses lightweight source code analysis and frequent sequential pattern mining. The hypothesis is that these call-usage patterns embody latent programming rules that developers commonly reuse, for example standard usages of API calls. The variants are an indicator of future changes such as the elimination of non-standard usages and/or bugs