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
Link To Document :
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