• DocumentCode
    1627972
  • Title

    Verifying and testing expert system conceptual models

  • Author

    Preece, Alun D. ; Shinghal, Rajjan

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
  • fYear
    1992
  • Firstpage
    922
  • Abstract
    The authors recommend a two-phase approach to validating expert systems: (1) to use verification tools and techniques to establish formally specifiable properties of the expert system, such as freedom from logical redundancy, inconsistency, and deficiency; and (2) to use evaluation techniques to identify critical areas of expert system functionality and to identify sets of test cases for those areas. A verification tool can then be used to establish whether the expert system functions correctly, according to these test cases. This approach is elucidated
  • Keywords
    expert systems; performance evaluation; deficiency; functionality; inconsistency; logical redundancy; testing expert system conceptual models; two-phase approach; verification tools; Application software; Computer science; Engines; Expert systems; Humans; Machine intelligence; Pattern recognition; Problem-solving; Software quality; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271675
  • Filename
    271675