• DocumentCode
    125375
  • Title

    SCKY: A Method for Reusing Service Process Fragments

  • Author

    Rong Yang ; Bing Li ; Jian Wang ; Lulu He ; Xiaohui Cui

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    209
  • Lastpage
    216
  • Abstract
    Recent years have witnessed a rapid growth in using Web services for data publishing and sharing among organizations. To improve the efficiency of software development and economize on human and material resources, service reuse is viewed as a powerful means which will not only reuse atomic services, but also reuse arbitrary granularities of Service Process Fragments (SPFs). However, effectively reusing arbitrary granularities of SPFs has not been solved yet. In this paper, we propose a novel method of SPF reuse, named SCKY, based on the Cocke-Kasami-Younger (CKY) algorithm. We first present an extended CKY to do SPF-query. Then we address how to do SPF-query by a probability CKY, i.e. return a SPF with maximum emergence probability. Finally, we explore the QoS Query of SPF. Through a set of experiments, the effectiveness and robustness of our approach are evaluated, where the dataset is constructed by the Web Service Challenge Testset Generator1 (CTG).
  • Keywords
    Web services; electronic publishing; probability; query processing; software reusability; CKY algorithm; Cocke-Kasami-Younger algorithm; QoS query; SCKY; SPF reuse; SPF-query; Web service challenge testset generator; Web services; arbitrary granularities; data publishing; data sharing; maximum emergence probability; probability CKY; service process fragment reusing; software development efficiency; Cities and towns; Concrete; Educational institutions; Probability; Process control; Quality of service; Web services; Cocke-Kasami-Younger algorithm; Service Process Fragment; service reuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2014 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5053-9
  • Type

    conf

  • DOI
    10.1109/ICWS.2014.40
  • Filename
    6928900