• DocumentCode
    2620218
  • Title

    Using Domain Ontology as Domain Knowledge for Requirements Elicitation

  • Author

    Kaiya, Haruhiko ; Saeki, Motoshi

  • Author_Institution
    Shinshu Univ., Nagano
  • fYear
    2006
  • fDate
    11-15 Sept. 2006
  • Firstpage
    189
  • Lastpage
    198
  • Abstract
    Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We propose a new requirements elicitation method ORE (ontology based requirements elicitation), where a domain ontology can be used as domain knowledge. In our method, a domain ontology plays a role on semantic domain which gives meanings to requirements statements by using a semantic function. By using inference rules on the ontology and a quality metrics on the semantic function, an analyst can be navigated which requirements should be added for improving completeness of the current version of the requirements and/or which requirements should be deleted from the current version for keeping consistency. We define this process as a method and evaluate it by an experimental case study of software music players
  • Keywords
    formal specification; formal verification; ontologies (artificial intelligence); domain knowledge; domain ontology; ontology based requirements elicitation; semantic function; Humans; Information systems; Natural language processing; Natural languages; Navigation; Ontologies; Performance analysis; Software quality; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Requirements Engineering, 14th IEEE International Conference
  • Conference_Location
    Minneapolis/St. Paul, MN
  • ISSN
    1090-705X
  • Print_ISBN
    978-0-7695-2555-6
  • Type

    conf

  • DOI
    10.1109/RE.2006.72
  • Filename
    1704062