• DocumentCode
    2017718
  • Title

    Mining Design Patterns for Architecture Reconstruction using an Expert System

  • Author

    Haqqie, Sarah ; Shahid, Arshad Ali

  • fYear
    2005
  • fDate
    24-25 Dec. 2005
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Software architecture reconstruction is required for many purposes. There exist many approaches to reconstruct the architecture of a system however; they do not extend the extraction process up to the design decisions and the quality attributes of the system. This paper presents a software architecture reconstruction methodology based on pattern mining from the source code using an expert system. From this reconstructed architecture, we extract the design decisions, which lead to the quality attributes of the system
  • Keywords
    data mining; expert systems; object-oriented programming; software architecture; data mining design pattern; expert system; software architecture reconstruction; Computer architecture; Data mining; Documentation; Expert systems; Pattern analysis; Pattern recognition; Software architecture; Software design; Software engineering; Software systems; Design Patterns; Expert Systems; Forward chaining; Pattern Mining; Pattern Views; Software Architecture Reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    9th International Multitopic Conference, IEEE INMIC 2005
  • Conference_Location
    Karachi
  • Print_ISBN
    0-7803-9429-1
  • Electronic_ISBN
    0-7803-9430-5
  • Type

    conf

  • DOI
    10.1109/INMIC.2005.334464
  • Filename
    4133479