Guidelines for the verification and validation of expert system software and conventional software: Validation scenarios. Volume 6

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This report is the sixth volume in a series of reports describing the results of the Expert System Verification and Validation (V&V) project which is jointly funded by the US Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. This activity was concerned with the development of a methodology for selecting validation scenarios and subsequently applying it to two expert systems used for nuclear utility applications. Validation scenarios were defined and classified into five categories: PLANT, TEST, BASICS, CODE, and ... continued below

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46 p.

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Mirsky, S. M.; Hayes, J. E. & Miller, L. A. March 1, 1995.

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Description

This report is the sixth volume in a series of reports describing the results of the Expert System Verification and Validation (V&V) project which is jointly funded by the US Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. This activity was concerned with the development of a methodology for selecting validation scenarios and subsequently applying it to two expert systems used for nuclear utility applications. Validation scenarios were defined and classified into five categories: PLANT, TEST, BASICS, CODE, and LICENSING. A sixth type, REGRESSION, is a composite of the others and refers to the practice of using trusted scenarios to ensure that modifications to software did not change unmodified functions. Rationale was developed for preferring scenarios selected from the categories in the order listed and for determining under what conditions to select scenarios from other types. A procedure incorporating all of the recommendations was developed as a generalized method for generating validation scenarios. The procedure was subsequently applied to two expert systems used in the nuclear industry and was found to be effective, given that an experienced nuclear engineer made the final scenario selections. A method for generating scenarios directly from the knowledge base component was suggested.

Physical Description

46 p.

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INIS; OSTI as TI95010254

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  • Other Information: PBD: Mar 1995

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  • Other: TI95010254
  • Report No.: NUREG/CR--6316-Vol.6
  • Report No.: SAIC--95/1028-Vol.6
  • DOI: 10.2172/42510 | External Link
  • Office of Scientific & Technical Information Report Number: 42510
  • Archival Resource Key: ark:/67531/metadc681423

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • March 1, 1995

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  • July 25, 2015, 2:20 a.m.

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  • Oct. 3, 2017, 4:20 p.m.

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Mirsky, S. M.; Hayes, J. E. & Miller, L. A. Guidelines for the verification and validation of expert system software and conventional software: Validation scenarios. Volume 6, report, March 1, 1995; Washington D.C.. (digital.library.unt.edu/ark:/67531/metadc681423/: accessed December 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.