• DocumentCode
    3145147
  • Title

    Detecting Design Patterns Using Source Code of Before Applying Design Patterns

  • Author

    Washizaki, Hironori ; Fukaya, Kazuhiro ; Kubo, Atsuto ; Fukazawa, Yoshiaki

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    933
  • Lastpage
    938
  • Abstract
    Detecting design patterns from object-oriented program source-code can help maintainers understand the design of the program. However, the detection precision of conventional approaches based on the structural aspects of patterns is low due to the fact that there are several patterns with the same structure. To solve this problem, we propose an approach of design pattern detection using source-code of before the application of the design pattern.Our approach is able to distinguish different design patterns with similar structures, and help maintainers understand the design of the program more accurately. Moreover, our technique reveals when and where the target pattern has been applied in an ordered series of revisions of the target program. Our technique is useful to assess what kinds of patterns increase what kinds of quality characteristics such as the maintainability.
  • Keywords
    object-oriented programming; program diagnostics; software maintenance; design pattern detection; object-oriented program source-code; program maintainability; Computer science; Control systems; Data analysis; Design engineering; Information science; Maintenance engineering; Manuals; Pattern analysis; Pattern recognition; Software design; Design patterns; design pattern detection; design pattern recovery; object-oriented programming; reverse engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.209
  • Filename
    5223175