• DocumentCode
    176215
  • Title

    Extending UML for the modeling of fuzzy self-adaptive software systems

  • Author

    Deshuai Han ; Qiliang Yang ; Jianchun Xing

  • Author_Institution
    Coll. of Defense Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2400
  • Lastpage
    2406
  • Abstract
    Fuzzy self-adaptive software systems are a kind of fuzzy-control-based systems that are proposed to deal with the emerging uncertainty problem in the software self-adaptation process. The construction of such systems has shown to be significantly more challenging than traditional systems as a lack of appropriate modeling tools. To address this problem, we introduce a modeling approach, entitled Fuzzy self-Adaptation ModEling Profile (FAME Profile), which is based on the extension mechanisms of UML. FAME Profile consists of a set of new stereotypes that correspond to the key concepts within fuzzy self-adaptive software systems, and three kinds of diagrams that provide analysis view, structural view and behavioral view respectively. The FAME Profile can considerably ease the modeling of fuzzy self-adaptive software systems and can be easily incorporated into main stream UML development environments. We illustrate the complete modeling process through a fuzzy self-adaptive software system called FuzzyLon893OPCServer System.
  • Keywords
    Unified Modeling Language; adaptive systems; fuzzy control; fuzzy logic; fuzzy systems; software engineering; FAME Profile; FuzzyLon893OPCServer System; UML development environments; UML extension mechanisms; fuzzy self-adaptation modeling profile; fuzzy self-adaptive software system modeling; fuzzy-control-based systems; software self-adaptation process; Monitoring; Object oriented modeling; Semantics; Software systems; Uncertainty; Unified modeling language; UML Profile; fuzzy logic; fuzzy self-adaptive software; modeling; software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852575
  • Filename
    6852575