• DocumentCode
    2943849
  • Title

    Analyzing Agent-Oriented Service Models based on SRMO

  • Author

    Li, Tong ; Liu, Lin

  • Author_Institution
    Sch. of Software, Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    8-8 Sept. 2008
  • Firstpage
    46
  • Lastpage
    52
  • Abstract
    This paper reports our experiences in analyzing service models based on the Service Requirements Modelling Ontology (SRMO) with an agent-oriented reasoning procedure. The service model in this paper adopts concepts from the strategic actor based early requirements modelling framework i* and extended with service manipulation rules. By mapping a static conceptual service model into a runtime situation, the set of service manipulation rules can be simulated and validated against expected service requirements. The Service-Oriented Model Reasoner (SOMR) has been designed and implemented as a plug-in of the Organization Modelling Environment (OME). Our testing results have shown that the agent-oriented service model reasoner can be used as an effective rule debugger and service model simulation tool.
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); program debugging; software agents; software architecture; systems analysis; agent-oriented reasoning procedure; agent-oriented service models; organization modelling environment; rule debugger; service requirements modelling ontology; service-oriented model reasoner; strategic actor based early requirements modelling; Concrete; Context modeling; Context-aware services; Data structures; Job design; Ontologies; Outsourcing; Quality of service; Runtime; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented Computing: Consequences for Engineering Requirements, 2008. SOCCER '08. International Workshop on
  • Conference_Location
    Barcelona, Catalunya
  • Print_ISBN
    978-1-4244-4082-5
  • Electronic_ISBN
    978-0-7695-3631-6
  • Type

    conf

  • DOI
    10.1109/SOCCER.2008.2
  • Filename
    4797492