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The methodology roles in the realization of a model development environment
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Source Winter Simulation Conference archive
Proceedings of the 20th conference on Winter simulation table of contents
San Diego, California, United States
Pages: 220 - 225  
Year of Publication: 1988
ISBN:0-911801-42-1
Authors
Richard E. Nance  Systems Research Center, Virginia Tech, Blacksburg, Virginia
James D. Arthur  Department of Computer Science, Virginia Tech, Blacksburg, Virginia
Sponsors
ORS : Orthopaedic Research Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 33,   Citation Count: 7
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ABSTRACT

The definition of “methodology” is followed by a very brief review of past work in modeling methodologies. The dual role of a methodology is explained: (1) conceptual guidance in the modeling task, and (2) definition of needs for environment designers. A model development environment based on the conical methodology serves for specific illustration of both roles.


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
Alford, M. (1985). SREM at the age of eight: the distributed computing design system. IEEE Computer 18, 36-54.
 
2
 
3
 
4
 
5
Balci, O. and Nance, R.E. (1987). Simulation model development environments: a research prototype, Journal of the Operational Research Society 38, 753-763.
6
 
7
Balzer, R., Cheatham, T.E. rind Green, C. (1983). Software technology in the 1990's using a new paradigm, IEEE Computer 16, 39-45.
 
8
 
9
Basili, V.R. and Weiss, D.M. (1985). A methodology for collecting valid software engineering data. 1EEE Transactions on Software Engineering 11, 157-168.
 
10
Bergland, G.D. (1981). A guided tour of program design methodologies. IEEE Computer 14, 13-36.
 
11
Bronowski, J. (1973). The Ascent of Man, British Broadcasting Corporation.
 
12
13
 
14
Colter, M.A. (1982). Evolution of the structured methodologies. In: Advanced System Development/Feasibility Techniques (J.D. Couger, M.A. Colter, and R.W. Knapp, eds.) John Wiley, 74-95.
 
15
Gelovani, V.A. (1984). An interactive modeling system as a tool for analyzing complen socio-ec~nomic problems. In: Models of Reality: Shaping Thought and Action, Lomond Books.
 
16
 
17
Geoffrion, A.M. (1988). SML: a model definition language for structured modeling. Working Paper No. 360, Western Management Science Institute, University of California, Los Angeles.
 
18
Greenberg, H.J. and Maybee, J.S. ( 1981 ). Computer-Assisted Analysis and Model Simplification. Academic Press, New York.
19
 
20
Heninger, K.L., Kallender, J.W., Shore, J.E., and Parnus, D.L. (1978). Software requirements for the A-7E aircraft. NRL Memorandum Report 3876, Naval Research Laboratory, Washington, D.C.
 
21
 
22
Kiviat, P.J. (1967). Digital computer simulation: modeling concepts, RAND Memorandum RM-5378-PR, Santa Monica, California.
 
23
Kiviat, P.J. (1969). Digital computer simulation: computer programming languages, RAND Report RM-5883-PR, Santa Monica, California.
24
 
25
Lackner, M.R. (1962). Toward a general simulation capability. In: Proceedings of the SJCC, AFIPS Press, 1-14.
 
26
Meeraus, A. (1983). An algebraic approach to modeling. Journal Economic Dynamic Control 5, 81-108.
 
27
Nance, R.E. (1977). The feasibility of and methodology for developing Federal documentation standards for simulation models. Final Report to the National Bureau of Standards, Department of Computer Science, Virginia Tech, Blacksburg, Virginia.
 
28
Nonce, R.E. (1981). Model representation in discrete event simulation: the conical methodology. Technical Report CS81003-R, Department of Computer Science, Virginia Tech, Blacksburg, Virginia.
 
29
 
30
Nanee, R.E. (1988). The conical methodology: a framework for simulation model development In: Proceedings of the Conference on Methodology and Validation (O. Balci, ed.), Simulation Series 19, Society for Computer Simulation, San Diego, California.
 
31
Oren, T.I. (1982). Computer aided modeling systems. In: Progress in Modeling and Simulation (F.E. Collier, ed.), Academic Press, London.
 
32
Oren, T.I. and Zeigler, B.P. (1979). Concepts for advanced simulation systems. Simulation 32, 69-82.
33
 
34
Sawyer, S.K. and Dawson, C.A. (1984). Practical applications of software engineering theorems and methodologies to software system design problems. UCCEL Corporation, Dallas, Texas.
 
35
SotTech, Inc. (1976). An Introduction to SADT: Structured Analysis and Design Technique, Document No. BCS-10167.
 
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CITED BY  7

Collaborative Colleagues:
Richard E. Nance: colleagues
James D. Arthur: colleagues