• DocumentCode
    596114
  • Title

    A Trust Impact Analysis Model for Composite Service Evolution

  • Author

    Shanshan Qi ; Bixin Li ; Cuicui Liu ; Xiaona Wu ; Rui Song

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    Changes to a composite service need to be well analyzed in order to ensure the trust of it. The analysis can be driven by identifying the impact caused by the changes on the trust of other component services as well as the composite service. In this paper, we propose a trust impact analysis model to analyze the impact of two kinds of evolution operations performed on a composite service: binding changes and business process changes. First, trust dependency graph is introduced to analyze the impact on the trust of component services. It not only identifies the affected component services but also quantifies the impact degree on the trust of them. Then we introduce control flow graph to evaluate the impact on the trust of the composite service. Three metrics are introduced to evaluate the impact of these evolution operations. The case study shows how these evolution operations affect the trust of other component services and the composite service which provides a foundation for the evaluation of composite service evolution.
  • Keywords
    Web services; data privacy; evolutionary computation; graph theory; Web services; binding change operation; business process change operation; component service trust; composite service evolution; control flow graph; evolution operation; trust impact analysis model; Analytical models; Business; Flow graphs; Meteorology; Silicon; Switches; composite service; control flow graph; data dependency; evolution; impact analysis; trust; trust dependency graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2012 19th Asia-Pacific
  • Conference_Location
    Hong Kong
  • ISSN
    1530-1362
  • Print_ISBN
    978-1-4673-4930-7
  • Type

    conf

  • DOI
    10.1109/APSEC.2012.30
  • Filename
    6462640