The psychology of computer programming
The psychology of computer programming
The time and state relationships in simulation modeling
Communications of the ACM - Special issue on simulation modeling and statistical computing
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
GPSS - finding the appropriate world-view
WSC '81 Proceedings of the 13th conference on Winter simulation - Volume 2
Model specification and analysis for discrete event simulation
Model specification and analysis for discrete event simulation
An extension to the cyclomatic measure of program complexity
ACM SIGPLAN Notices
The simulation model development environment: an overview
WSC '92 Proceedings of the 24th conference on Winter simulation
Comparison of simulation environments through analytic hierarchy process
WSC '96 Proceedings of the 28th conference on Winter simulation
The Visual Simulation Environment technology transfer
Proceedings of the 29th conference on Winter simulation
Exploring the forms of model diagnosis in a simulation support environment
WSC '87 Proceedings of the 19th conference on Winter simulation
Redundancy in model specifications for discrete event simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
On simulation model complexity
Proceedings of the 32nd conference on Winter simulation
Measuring Complexity of Multi-agent Simulations --- An Attempt Using Metrics
Languages, Methodologies and Development Tools for Multi-Agent Systems
Controlled simplification of material flow simulation models
Winter Simulation Conference
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Current complexity metrics based upon graphical analysis or static program characteristics are not well suited for discrete event simulation model representations, owing to their inherent dynamics. This paper describes a complexity metric suitable for model representations. A study of existing metrics provides a basis for the development of the desired metric, and a set of characteristics for a simulation model complexity metric is defined. A metric is described based on the two types of complexity that are apparent in model representations. Experimental data are presented to verify that this metric possesses the desired characteristics. Based on evaluation of this data and the desired characteristics, this metric appears to offer an improvement over existing metrics.