• DocumentCode
    588614
  • Title

    Dependence communities in source code

  • Author

    Hamilton, John ; Danicic, S.

  • Author_Institution
    Dept. of Comput., Univ. of London, London, UK
  • fYear
    2012
  • fDate
    23-28 Sept. 2012
  • Firstpage
    579
  • Lastpage
    582
  • Abstract
    The concept of community structure arises from the analysis of social networks in sociology. Community structure can be found in many real world graphs other than social networks. Recently, efficient community detection algorithms have been developed which can cope with very large graphs with millions of nodes and potentially billions of edges. So, for the first time, there is the potential for investigating communities in real industrial-strength software at the statement level. We provide empirical evidence that dependence between statements in software does, indeed, give rise to community structure. Initial findings suggest that the separate dependence communities are far from arbitrary. They appear to decompose systems into areas of distinct functionality. This new approach to system decomposition has tremendous potential in many areas of software engineering, particularly in reverse engineering of legacy software and program comprehension.
  • Keywords
    graph theory; reverse engineering; software maintenance; community detection algorithms; community structure concept; dependence communities; distinct functionality; legacy software; program comprehension; real industrial-strength software; real world graphs; reverse engineering; social network analysis; sociology; software engineering; source code; statement level; system decomposition; Communities; Conferences; Detection algorithms; Semantics; Software engineering; Software maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance (ICSM), 2012 28th IEEE International Conference on
  • Conference_Location
    Trento
  • ISSN
    1063-6773
  • Print_ISBN
    978-1-4673-2313-0
  • Type

    conf

  • DOI
    10.1109/ICSM.2012.6405325
  • Filename
    6405325