• DocumentCode
    2970035
  • Title

    A Model-Driven Perspective on the Rule-Based Specification of Services

  • Author

    Iacob, Maria-Eugenia ; Jonkers, Henk

  • fYear
    2008
  • fDate
    15-19 Sept. 2008
  • Firstpage
    75
  • Lastpage
    84
  • Abstract
    The focus in this position paper is on business rules as a means to raise the level of abstraction (and automation) at which business logic is incorporated in model driven application design in the context of service oriented architectures. More specifically, next to providing a classification framework for business rules and investigating the existing standards and languages for the formal specification of business rules, we propose a model-driven framework for the rule-based design of services. We provide an example to illustrate this framework and to demonstrate the role business rules can play in the context of MDD of SOAs. Furthermore, we also explore, in terms of existing tool support, the extent to which, the model-driven design process can be complemented and combined with business rules written in nearly natural language, which can become, at the platform specific level, an executable way to specify business knowledge and decisions.
  • Keywords
    Web services; business data processing; formal specification; software architecture; business knowledge; business logic; business rules; formal specification; model-driven design process; model-driven perspective; natural language; service oriented architectures; services rule-based specification; Application software; Context modeling; Context-aware services; Design automation; Formal specifications; Logic design; Process design; Product design; Service oriented architecture; Standards development; business rule standards; business rules; model-driven architecture; service orchestration; service oriented architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference, 2008. EDOC '08. 12th International IEEE
  • Conference_Location
    Munich
  • ISSN
    1541-7719
  • Print_ISBN
    978-0-7695-3373-5
  • Type

    conf

  • DOI
    10.1109/EDOC.2008.24
  • Filename
    4634759