Clone Detection in Source Code by Frequent Itemset Techniques

Vera Wahler; Dietmar Seipel; J?rgen Wolff v. Gudenberg; Gregor Fischer

doi:10.1109/SCAM.2004.6

Source Code Analysis and Manipulation, Fourth IEEE International Workshop on

Clone Detection in Source Code by Frequent Itemset Techniques

Year: 2004, Pages: 128-135

DOI Bookmark: 10.1109/SCAM.2004.6

Authors

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

Abstract

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.

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Clone Detection in Source Code by Frequent Itemset Techniques

Authors

Abstract

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