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Verifying and validating simulation models
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Source Winter Simulation Conference archive
Proceedings of the 28th conference on Winter simulation table of contents
Coronado, California, United States
Pages: 55 - 64  
Year of Publication: 1996
ISBN:0-7803-3383-7
Author
Robert G. Sargent  Simulation Research Group, College of Engineering and Computer Science, 439 Link Hall, Syracuse University, Syracuse, New York
Sponsors
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
Publisher
IEEE Computer Society  Washington, DC, USA
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ABSTRACT

This paper discusses verification and validation of simulation models. The different approaches to deciding model validity am presented; how model verification and validation relate to the model development process are discussed; various validation techniques are defined, conceptual model validity, model verification, operational validity, and data validity are described; ways to document results are given; and a recommended procedure is presented.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Anderson, H.A. and R.G. Sargent. 1974. An Investigation into Scheduling for an Interactive Computer System, IBM Journal of Research and Development, 18, 2, pp. 125-137.
2
3
 
4
Balci, O. and R.G. Sargent. 1982a. Validation of Multivariate Response Simulation Models by Using HoteUing's Two-Sample T2 Test, Simulation, Vol. 39, No. 6, pp. 185-192.
 
5
 
6
 
7
Balci, O. and R.G. Sargent. 1984a. A Bibliography on the Credibility Assessment and Validation of Simulation and Mathematical Models, Simuletter, 15, 3, pp. 15-27.
 
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Balci, O. and R.G. Sargent. 1984b. Validation of Simulation Models via Simultaneous Confidence Intervals, American Journal of Mathematical and Management Science, pp. 375-406.
 
9
Banks, J., J.S. Carson II, and B.L. Nelson. 1996. Discrete-Event System Simulation, 2nd Edition Prentice-Hall, Englewood Cliffs, NJ.
 
10
Banks, J., D. Gerstein, and S.P. Searles. 1988. Modeling Processes, Validation, and Verification of Complex Simulations: A Survey, Methodology and Validation, Simulation Series, Vol. 19, No. 1, The Society for Computer Simulation, pp. 13-18.
 
11
Chattergy, R. and V.W. Pooch. 1977. Integrated Design and Verification of Simulation Programs, Computer, Vol. 10, No. 4, pp. 40-46.
12
 
13
DOD Simulations: Improved Assessment Procedures Would Increase the Credibility of Results 1987. United States General Accounting Office, PEMD-88-3.
 
14
Fairley, R.E. 1976. Dynamic Testing of Simulation Software, Proceedings of the 1976 Summer Computer Simulation Conference, Washington, D.C., pp. 40-46.
 
15
Gass, S.I. 1977. A Procedure for Evaluation of Complex Models, Proceedings of the First International Conference on Mathematical Modeling, University of Missouri, pp. 247-257.
 
16
Gass, S.I. 1983. Decision-Aiding Models: Validation, Assessment, and Related Issues for Policy Analysis, Operations Research, 31, 4, pp. 601-663.
 
17
Gass, S.I. 1984. Documenting a Computer-Based Model, Interfaces, Vol. 14, No. 3, pp. 84-93.
 
18
Gass, S.I. and L. Joel. 1987. Concepts of Model Confidence, Computers and Operations Research, 8,4, pp. 341-346.
 
19
Gass, S.I. and B.W. Thompson. 1980. Guidelines for Model Evaluation: An Abridged Version of the U.S. General Accounting Office Exposure Draft, Operations Research, 28, 2, pp. 431-479.
 
20
Johnson, R.A. 1994. Miller and Freund's Probability and Statistics for Engineers, 5th edition, Prentice-Hall, Englewood Cliffs, N.J.
 
21
22
 
23
 
24
Naylor, T.H. and J.M. Finger. 1967. Verification of Computer Simulation Models, Management Science, 14, 2, pp. B92-B101.
25
 
26
Rao, M.J. and R.G. Sargent. 1988. An Advisory System for Operational Validity, Artificial Intelligence and Simulation: The Diversity of Applications, edited by T. Hensen, Society for Computer Simulation, San Diego, CA, pp. 245-250.
 
27
 
28
Sargent, R.G. 198 i. An Assessment Procedure and a Set of Criteria for Use in the Evaluation of Computerized Models and Computer-Based Modelling Tools, Final Technical Report RADC-TR-80-409.
 
29
Sargent, R.G. 1982. Verification and Validation of Simulation Models, Chapter IX in Progress in Modelling and Simulation, edited by F.E. Cellier, Academic Press, London, pp. 159-169.
 
30
Sargent, R.G. 1984. Simulation Model Validation, Simulation and Model-Based Methodologies: An Integrative View, edited by Oren, et al., Springer- Verlag.
31
32
33
 
34
Sargent, R.G. 1990. Validation of Mathematical Models, Proceedings of GEOVAL-90: Symposium on Validation of Geosphere Flow and Transport Models, Stockholm, Sweden, pp. 571-579.
 
35
36
 
37
 
38
 
39
Schlesinger, et al. 1979. Terminology for Model Credibility, Simulation, 32, 3, pp. 103-104.
 
40
Schruben, L.W. 1980. Establishing the Credibility of Simulations, Simulation, 34, 3, pp. 101-105.
 
41
Shannon, R.E. 1975. Systems Simulation: The Art and the Science, Prentice-Hall.
 
42
 
43
Smith, D.E. and C.A. Mauro. 1982. Factor Screening in Computer Simulation, Simulation, 38, 2, pp. 49- 54.
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45
 
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CITED BY  21