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Source Code Analysis and Manipulation, Fourth IEEE International Workshop on (SCAM'04)
Clone Detection in Source Code by Frequent Itemset Techniques
Chicago, Illinois
September 15-September 16
ISBN: 0-7695-2144-4
Vera Wahler, University of W?rzburg, Germany
Dietmar Seipel, University of W?rzburg, Germany
J?rgen Wolff v. Gudenberg, University of W?rzburg, Germany
Gregor Fischer, University of W?rzburg, Germany
In this paper we describe a new approach for the detection of clones in source code, which is inspired by the concept of frequent itemsets from data mining.
The source code is represented as an abstract syntax tree in XML. Currently, such XML representations exist for instance for Java, C++, or PROLOG. Our approach is very flexible; it can be configured easily to work with multiple programming languages.
Citation:
Vera Wahler, Dietmar Seipel, J?rgen Wolff v. Gudenberg, Gregor Fischer, "Clone Detection in Source Code by Frequent Itemset Techniques," scam, pp.128-135, Source Code Analysis and Manipulation, Fourth IEEE International Workshop on (SCAM'04), 2004
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