A history of discrete event simulation programming languages
HOPL-II The second ACM SIGPLAN conference on History of programming languages
Healthcare simulation modeling and optimization using MedModel
Proceedings of the 33nd conference on Winter simulation
Panel: future of simulation: panel session: the future of simulation
Proceedings of the 33nd conference on Winter simulation
Future of simulation software: the current and future status of simulation software (panel)
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation modeling using promodel technology: simulation modeling using promodel technology
Proceedings of the 35th conference on Winter simulation: driving innovation
Extend: an interactive simulation tool: extend: an interactive simulation tool
Proceedings of the 35th conference on Winter simulation: driving innovation
Maximizing simulation ROI with AutoMod: maximizing simulation ROI with AutoMod
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation technology panel: panel: simulation - past, present and future
Proceedings of the 35th conference on Winter simulation: driving innovation
The SIMSCRIPT III programming language for modular object-oriented simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Requirements for domain specific discrete event simulation environments
WSC '05 Proceedings of the 37th conference on Winter simulation
Towards a DSM-based framework for the development of complex simulation systems
Proceedings of the 2011 Summer Computer Simulation Conference
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Commercial simulation environments offer model developers the ability to compose simulation models using generic or domain specific model constructs. Most simulation environments even offer the possibility to compose custom extensions to the simulation environment for faster development of simulation models for a specific domain. This paper evaluates the functionalities for usage and development of custom domain specific extensions that 10 commonly used simulation environments provide to model developers. The findings are scored against a set of criteria, showing that currently more than half of the most used simulation environments offer support to model developers regarding domain specific extensions.