• DocumentCode
    2451890
  • Title

    A Meta Modeling Framework for Domain Specific Process Management

  • Author

    Jablonski, Stefan ; Volz, Bernhard ; Dornstauder, Sebastian

  • Author_Institution
    Univ. of Bayreuth, Bayreuth
  • fYear
    2008
  • fDate
    July 28 2008-Aug. 1 2008
  • Firstpage
    1011
  • Lastpage
    1016
  • Abstract
    Process Management has become an acknowledged technology for application integration. However, different applications leverage from different process modeling capabilities. Thus, domain specific process management becomes more and more relevant. In this paper we present our solution for an abstract process modeling method and language based on an extensible meta modeling framework which has two main advantages compared to standard MDA tools. First, we can easily implement modeling patterns (here: powertypes and type/usage concept). Second, we can use more than two meta layers which results in a more clear structure and in higher flexibility (here a separation between general process modeling principles and domain specific languages that can better express domain specific semantics).
  • Keywords
    data models; software process improvement; specification languages; MDA tools; abstract process modeling method; domain specific languages; domain specific process management; domain specific semantics; extensible meta modeling framework; general process modeling principles; process modeling capability; Application software; Automotive applications; Automotive engineering; Computer applications; Computer science; Conference management; DSL; Domain specific languages; Energy management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
  • Conference_Location
    Turku
  • ISSN
    0730-3157
  • Print_ISBN
    978-0-7695-3262-2
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2008.58
  • Filename
    4591712