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Productivity tools in simulation: SIMSCRIPT 11.5 and SIMGRAPHICS
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Source Winter Simulation Conference archive
Proceedings of the 21st conference on Winter simulation table of contents
Washington, D.C., United States
Pages: 164 - 171  
Year of Publication: 1989
ISBN:0-911801-58-8
Author
Sponsors
IIE : Institute of Industrial Engineers
NIST : National Institue of Standards & Technology
SES : SES
TIMS/CS :
IEEE-CS : Computer Society
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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ABSTRACT

The SIMSCRIPT II. 5 simulation language with its integrated dynamic graphics package, SIMGRAPHICS, substantially reduces the time and effort to produce a simulation when compared to general purpose languages.Its structured English syntax improves readability and reduces some of the need for documentation. This syntax is supported by powerful libraries to relieve the programmer of substantial amounts of work by pushing it onto the computer.SIMGRAPHICS adds graphics to a program to display results dynamically. Graphics in most programs takes thousands of lines of code. SIMGRAPHICS reduces this task to a few lines of code with mouse-and-menu graphics editors.All of this adds up to major improvements in productivity in programming. Rapid prototypes with dynamic graphics can be written in a few days. Code is open to inspection by non-programmers. Results are faster and more reliable.


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
--, SIMGRAHPICS User's Guide and Casebook, CACI, La Jolla, California, 1988.
 
2
--, SIMSCRIPT II.5 Programming Language, CACI, Los Angeles, California, 1987
 
3
Russell, Edward C., Building Simulation Models with SIMSCRIPT II. 5, Los Angeles, California, 1983.
 
4
SKIP BRYAN manages the Simulation and Modeling Department for CACI Products Company. He received a B. S. in Mechanical Engineering from MIT, an M. S. in R & D Management from the University of Southern California and an MBA from the University of Chicago. His current interests include specification and design of large scale simulation models.