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
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;
Conference_Titel :
Knowledge-Based Software Engineering Conference, 1994. Proceedings., Ninth
Conference_Location :
Monterey, CA
Print_ISBN :
0-8186-6380-4
DOI :
10.1109/KBSE.1994.342675
