• DocumentCode
    287621
  • Title

    A flexible rule-chaining engine for process-based software engineering

  • Author

    Tong, Andrew Z. ; Kaiser, Gail E. ; Popovich, Steven S.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    1994
  • fDate
    20-23 Sep 1994
  • Firstpage
    79
  • Lastpage
    88
  • Abstract
    We present the design of a new rule-based process engine that generalizes previous systems to support process enforcement, automation, guidance, monitoring, delegation, planning, simulation, instrumentation and potentially other applications. Our approach is fully knowledge-based, tailored by knowledge regarding the process assistance policies to be supported as well as the process definition
  • Keywords
    inference mechanisms; knowledge based systems; software tools; automation; guidance; knowledge-based; process assistance policies; process enforcement; process engine; process-based software engineering; rule-based; rule-chaining engine; Application software; Computational modeling; Computer science; Computerized monitoring; Design automation; Engines; Instruments; Process planning; Programming; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Software Engineering Conference, 1994. Proceedings., Ninth
  • Conference_Location
    Monterey, CA
  • ISSN
    1068-3062
  • Print_ISBN
    0-8186-6380-4
  • Type

    conf

  • DOI
    10.1109/KBSE.1994.342675
  • Filename
    342675