• DocumentCode
    1728146
  • Title

    An Algebra-Based Reliability Prediction Approach for Composite Web Services

  • Author

    Huang, Ning ; Wang, Dong ; Jia, Xiaoguang

  • Author_Institution
    Dept. of Syst. Eng., Beihang Univ., Beijing
  • fYear
    2008
  • Firstpage
    285
  • Lastpage
    286
  • Abstract
    As the most attractive realization of component-based software, composite Web service asks a heavy demand for reliability prediction in the early stage for service discovery and service composition. Although it is believed that input should be one of the most important aspects affecting the reliability of a component-based system, research of both giving more details on an operational profile and considering software architecture to get more accurate reliability prediction is scant. This paper describes an algebra-based reliability prediction approach in three aspects: (i) a sub-set of OWL-S that provides reliability estimation information is discussed; (ii) a framework that describes syntax and reliability prediction semantics of the sub-set is explained and implemented in Maude; (iii) an example of how to use the framework to calculate reliability is studied.
  • Keywords
    Web services; algebraic specification; knowledge representation languages; object-oriented programming; software architecture; software reliability; OWL-S specification; Web service composition; Web service discovery; algebra-based reliability prediction approach; component-based software; composite Web service; reliability prediction semantics; software architecture; software requirement; Computer network reliability; Computer science; Logic; Probability density function; Process control; Reliability engineering; Software architecture; Software reliability; Systems engineering and theory; Web services; Algebra; Maude; OWL-S; Reliability; Rewrite Logic; Web Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering, 2008. ISSRE 2008. 19th International Symposium on
  • Conference_Location
    Seattle, WA
  • ISSN
    1071-9458
  • Print_ISBN
    978-0-7695-3405-3
  • Electronic_ISBN
    1071-9458
  • Type

    conf

  • DOI
    10.1109/ISSRE.2008.40
  • Filename
    4700338