• DocumentCode
    230803
  • Title

    Customizable rule-based verification of requirements ontology

  • Author

    Dang Viet Dzung ; Ohnishi, Atsushi

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2014
  • fDate
    26-26 Aug. 2014
  • Firstpage
    19
  • Lastpage
    26
  • Abstract
    In using ontology to support requirements engineering, quality of elicited requirements depends on quality of requirements ontology, so a rule-based verification method of the correctness of requirements ontology has been proposed. However, in recent evaluation experiments, users of the method (ontology verifiers) described only a few new rules based on rule grammars and rule examples. That led to the number of correctly detected errors were not so high (less than 50% of the total number of errors). To improve our method, in this paper, we propose a rules customization mechanism in which simple specific rules are generated using pre-defined and customizable meta-rules. We expect that by using the improvement, ontology verifiers can easily and effectively generate and customize rules for verification of requirements ontology. The customization mechanism is illustrated through examples and a case study.
  • Keywords
    formal verification; knowledge based systems; ontologies (artificial intelligence); meta-rules; requirements engineering; requirements ontology; rule example; rule grammar; rule-based verification; rules customization mechanism; Educational institutions; Libraries; Ontologies; Redundancy; Registers; Search problems; Software; ontology-based requirements elicitation; verification of requirements ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence for Requirements Engineering (AIRE), 2014 IEEE 1st International Workshop on
  • Conference_Location
    Karlskrona
  • Type

    conf

  • DOI
    10.1109/AIRE.2014.6894852
  • Filename
    6894852