• DocumentCode
    2430698
  • 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.
  • fYear
    2004
  • fDate
    16-16 Sept. 2004
  • Firstpage
    128
  • Lastpage
    135
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Source Code Analysis and Manipulation, 2004. Fourth IEEE International Workshop on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7695-2144-4
  • Type

    conf

  • DOI
    10.1109/SCAM.2004.6
  • Filename
    1386166
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2430698