• DocumentCode
    1970842
  • Title

    Stateful Web Services -- Auto Modeling and Composition

  • Author

    Ali, Syed Abid ; Roop, Partha S. ; Warren, Ian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    284
  • Lastpage
    291
  • Abstract
    The web service community has introduced many techniques to cope with the inability of WSDL to describe a service´s behavior. Those techniques range from embedding more XML tags in WSDL, to generate formal behavioral models on top of WSDL. Apart from the efficiency of these techniques, a common problem is that they require manual efforts to model the behavior of a service, and often need informal documentation from service vendors to do so. In this paper, we propose a solution for the above problem by automatically extracting a service´s behavior, directly from its WSDL document. Our approach is based on the utilization of particular WSDL elements, which are usually ignored by bottom-up approaches while generating a WSDL file. We illustrate our process in steps by taking a scenario from Amazon E-commerce Web Service. We also survey the issues with extracting the behavioral models, from the WSDLs of existing web services. Finally, we tested our automatically generated models by composing them together using our service composition framework.
  • Keywords
    Web services; XML; electronic commerce; Amazon e-commerce Web service; WSDL document; WSDL file; Web services description language; informal documentation; service behavior extraction; service composition framework; service vendors; stateful Web services; Business; Communities; Documentation; Standards; Unified modeling language; Web services; XML; WSDL; behavioral modeling; composition; stateful web services; web service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5025-1
  • Type

    conf

  • DOI
    10.1109/ICWS.2013.46
  • Filename
    6649590