• DocumentCode
    2070163
  • Title

    Composing Highly Reliable Service-Oriented Applications Adaptively

  • Author

    Tsai, W.T. ; Elston, Jay ; Chen, Yinong

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • fYear
    2008
  • fDate
    18-19 Dec. 2008
  • Firstpage
    115
  • Lastpage
    122
  • Abstract
    This paper proposes dynamic and adaptive reliability methods that can be integrated into a collaborative composition framework with dynamic verification and adaptive reliability modeling. The composition process follows a template-based approach with ontology systems where a variety of items can be reused including services, workflows, application templates, and test cases/scripts. Items submitted to publication are subjected to test and evaluation before they can be published and reused. Test cases can also be ranked based on their effectiveness and test cases will be continuously re-ranked based on recent testing results and reliability modeling. Composed applications will be tested and evaluated before deployment, and even during execution, applications will be monitored so that their reliability can be continuously updated. This paper proposed several adaptive mechanisms to estimate software reliability and update test case effectiveness. They are illustrated by examples.
  • Keywords
    ontologies (artificial intelligence); program verification; software architecture; software reliability; adaptive reliability; dynamic verification; ontology systems; service-oriented applications; software reliability; Application software; Collaborative work; Condition monitoring; Quality of service; Reliability engineering; Runtime; Service oriented architecture; Software testing; Systems engineering and theory; USA Councils; Dynamic Reliability Modeling; Service-Oriented Architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented System Engineering, 2008. SOSE '08. IEEE International Symposium on
  • Conference_Location
    Jhongli
  • Print_ISBN
    978-0-7695-3499-2
  • Electronic_ISBN
    978-0-7695-3499-2
  • Type

    conf

  • DOI
    10.1109/SOSE.2008.50
  • Filename
    4730473