Guidelines for the verification and validation of expert system software and conventional software: Survey and assessment of conventional software verification and validation methods. Volume 2

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By means of a literature survey, a comprehensive set of methods was identified for the verification and validation of conventional software. The 153 methods so identified were classified according to their appropriateness for various phases of a developmental life-cycle -- requirements, design, and implementation; the last category was subdivided into two, static testing and dynamic testing methods. The methods were then characterized in terms of eight rating factors, four concerning ease-of-use of the methods and four concerning the methods` power to detect defects. Based on these factors, two measurements were developed to permit quantitative comparisons among methods, a Cost-Benefit metric ... continued below

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176 p.

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

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Description

By means of a literature survey, a comprehensive set of methods was identified for the verification and validation of conventional software. The 153 methods so identified were classified according to their appropriateness for various phases of a developmental life-cycle -- requirements, design, and implementation; the last category was subdivided into two, static testing and dynamic testing methods. The methods were then characterized in terms of eight rating factors, four concerning ease-of-use of the methods and four concerning the methods` power to detect defects. Based on these factors, two measurements were developed to permit quantitative comparisons among methods, a Cost-Benefit metric and an Effectiveness Metric. The Effectiveness Metric was further refined to provide three different estimates for each method, depending on three classes of needed stringency of V&V (determined by ratings of a system`s complexity and required-integrity). Methods were then rank-ordered for each of the three classes by terms of their overall cost-benefits and effectiveness. The applicability was then assessed of each for the identified components of knowledge-based and expert systems, as well as the system as a whole.

Physical Description

176 p.

Notes

INIS; OSTI as TI95010249

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  • Other Information: PBD: Mar 1995

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  • Other: TI95010249
  • Report No.: NUREG/CR--6316-Vol.2
  • Report No.: SAIC--95/1028-Vol.2
  • DOI: 10.2172/42513 | External Link
  • Office of Scientific & Technical Information Report Number: 42513
  • Archival Resource Key: ark:/67531/metadc689003

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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.; Groundwater, E. H.; Hayes, J. E. & Miller, L. A. Guidelines for the verification and validation of expert system software and conventional software: Survey and assessment of conventional software verification and validation methods. Volume 2, report, March 1, 1995; Washington D.C.. (digital.library.unt.edu/ark:/67531/metadc689003/: accessed December 14, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.