Design pattern detection by template matching

Authors:
Jing Dong;Yongtao Sun;Yajing Zhao
Affiliations:
University of Texas at Dallas, Richardson, TX;American Airlines, Fort Worth, TX;University of Texas at Dallas, Richardson, TX
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

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Abstract

In this paper, we adopt a template matching method to detect design patterns from a software system by calculating their normalized cross correlation. Because design patterns document flexible design ideas, there can be various ways of implementing them. In our approach, not only the exact matches of pattern instances are detected from system source code, but also the variations of pattern candidates can be identified. Based on our method, we provide tool support and perform experiments on different large open-source systems.