• DocumentCode
    2771961
  • Title

    Business Process Decomposition Based on Service Relevance Mining

  • Author

    Huang, Zicheng ; Huai, Jinpeng ; Liu, Xudong ; Zhu, Jiangjun

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    573
  • Lastpage
    580
  • Abstract
    Reuse is an important mechanism for improving the efficiency of software development. For Internet-scale software produced through service composition, the simple reuse granularity at service is often inefficient due to the large number of available services. This paper proposes a novel architecture which enables efficient reuse of process fragments. In the proposed architecture, services are organized into a network, called Service Composition Network (SCN), based on their co-occurence in the existing composite services. The reusable process fragments are extracted by decomposing existing composite services according to both the structural constraint of the process and the relevance of services in the same process fragment. The design principles and a prototype implementation of this architecture are presented, the performance of the proposed approach is analyzed, and an application is described to demonstrate the effectiveness of it.
  • Keywords
    Internet; business data processing; data mining; software architecture; software development management; software reusability; Internet-scale software; business process decomposition; design principle; service composition network; service relevance mining; software architecture; software development; software reusability; Process Decomposition; Service Composition; Service Relevance Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.21
  • Filename
    5616395