• DocumentCode
    863718
  • Title

    Coupling metrics for ontology-based system

  • Author

    Orme, Anthony M. ; Tao, Hong ; Etzkorn, Letha H.

  • Author_Institution
    Comput. Sci. Dept., Alabama Univ., Huntsville, AL, USA
  • Volume
    23
  • Issue
    2
  • fYear
    2006
  • Firstpage
    102
  • Lastpage
    108
  • Abstract
    Measuring system coupling is a commonly accepted software engineering practice associated with producing high-quality software products. Coupling metrics traditionally measure data passed across a module interface to determine couplings between modules in a given system. XML has become common in Internet-based application domains such as business-to-business and business-to-consumer applications, and has formed a basis for service-oriented architectures such as Web services and the Semantic Web. We therefore need new coupling metrics that address these systems´ unique requirements. We propose a set of coupling metrics for ontology-based systems represented in OWL: the number of external classes (NEC), reference to external classes (REC), and referenced includes (RI). To collect these metrics, we use a standard XML-based parser. This research reflects a new type of coupling measurement for system development that defines coupling metrics based on ontology data and its structure.
  • Keywords
    XML; ontologies (artificial intelligence); semantic Web; software metrics; OWL; XML; high-quality software product; ontology-based system; semantic Web; software engineering; software metrics; system development; Application software; OWL; Ontologies; Semantic Web; Service oriented architecture; Software engineering; Software measurement; Web and internet services; Web services; XML; measure; metric; ontology;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2006.46
  • Filename
    1605186