• DocumentCode
    2298271
  • Title

    A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions

  • Author

    Zhou, Zhangbing ; Bhiri, Sami ; Shu, Lei ; Huang, Kaizhu ; Vasiliu, Laurentiu ; Hauswirth, Manfred

  • Author_Institution
    Digital Enterprise Res. Inst., Nat. Univ. of Ireland at Galway, Galway
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Firstpage
    249
  • Lastpage
    256
  • Abstract
    Web service interactions have triggered the initiative to identify and solve mismatches from a behavioral aspect. Current approaches are limited since they mainly focus on control-flow but largely ignore data-flow. In this paper, we propose an approach to automatically generate scenarios and views for describing external behavior of Web services, i.e. the public process, considering both control-flow and data-flow. We define a scenario as a set of complete execution paths for a public process. Data dependencies are presented as a dependency graph, which is optimized into a minimal dependency graph. Then, a view is generated to describe a scenario for analysis purposes, and external behavior of a Web service is described as a finite set of views. Our approach is very useful for service modelers and users to better understand the external behavior of Web services, to identify and solve mismatches from a behavioral aspect, and thus to facilitate Web service interactions.
  • Keywords
    Web services; data flow analysis; Web service interactions; control flow; data dependencies; data flow; external behavior; mediated service interaction; minimal dependency graph; scenario-view based approach; Automatic control; Automatic generation control; Computer science; Data analysis; Process control; Web services; Mediated Service Interaction; Public Process; Scenario; View;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2008. SCC '08. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-0-7695-3283-7
  • Type

    conf

  • DOI
    10.1109/SCC.2008.41
  • Filename
    4578531