• DocumentCode
    1644018
  • Title

    An Approach for Mining Web Service Composition Patterns from Execution Logs

  • Author

    Tang, Ran ; Zou, Ying

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´´s Univ. Kingston, Kingston, ON, Canada
  • fYear
    2010
  • Firstpage
    678
  • Lastpage
    679
  • Abstract
    A service-oriented application is composed of several web services to provide complex functionality that a single web service cannot provide. A set of services along with their control flows can be frequently used in multiple applications. Such services form a service composition pattern which is well tested in the numerous adoptions. Reusing service composition patterns in service composition provides an efficient way to improve the quality of new applications. To facilitate the documentation of service composition patterns, we propose an approach to automatically recognize service composition patterns from various applications. We identify service composition patterns by locating a set of associated services commonly used by different applications and recovering the control flows among the set of associated services.
  • Keywords
    Web services; data mining; pattern recognition; software architecture; Web service composition pattern mining; complex functionality; execution logs; service oriented application; Data mining; Documentation; Organizations; Process control; Runtime; Web services; composition; log; pattern mining; web service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2010 IEEE International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-8146-0
  • Electronic_ISBN
    978-0-7695-4128-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2010.35
  • Filename
    5552713