Title :
Clone detection in source code by frequent itemset techniques
Author :
Wahler, Vera ; Seipel, Dietmar ; Wolff, Josse ; Fischer, Gregor
Author_Institution :
Inst. for Comput. Sci., Wurzburg Univ.
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
Keywords :
C++ language; Java; PROLOG; XML; program debugging; source coding; C++; Java; PROLOG; XML; clone detection; data mining; frequent itemset techniques; multiple programming languages; source code; Cloning; Computer languages; Computer science; Data mining; Itemsets; Java; Programming profession; Software maintenance; Testing; XML;
Conference_Titel :
Source Code Analysis and Manipulation, 2004. Fourth IEEE International Workshop on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-2144-4
DOI :
10.1109/SCAM.2004.6
