• DocumentCode
    3265074
  • Title

    AI-ESTATE-the next generation

  • Author

    Sheppard, John ; Kaufman, Mark

  • Author_Institution
    ARINC Res. Corp., Annapolis, MD, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    11
  • Lastpage
    18
  • Abstract
    We present an overview of the current and future directions of the AI-ESTATE standards. We address the concerns of document organization, information modeling, service versus API specification, and other issues raised by the AI-ESTATE community. We also discuss the vision of the AI-ESTATE subcommittee in its work to integrate the AI-ESTATE information models and projects such as testability/diagnosability assessment and test/maintenance feedback
  • Keywords
    IEEE standards; automatic test equipment; automatic test software; data encapsulation; data models; diagnostic expert systems; diagnostic reasoning; maintenance engineering; software prototyping; AI-ESTATE standards; IEEE standards; conceptual model; diagnostic reasoner; document organization; information encapsulation; information modeling; information models; revised common element model; service versus API specification; test/maintenance feedback; testability/diagnosability assessment; Artificial intelligence; Communication standards; Corona; Feedback; Software standards; Software testing; Standards development; Standards organizations; Standards publication; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AUTOTESTCON '99. IEEE Systems Readiness Technology Conference, 1999. IEEE
  • Conference_Location
    San Antonio, TX
  • ISSN
    1080-7725
  • Print_ISBN
    0-7803-5432-X
  • Type

    conf

  • DOI
    10.1109/AUTEST.1999.800351
  • Filename
    800351