Modeling and Simulation (M&S) is increasingly becoming a central activity in the design of new systems and in the analysis of existing systems because it enables designers and researchers to investigate systems behaviour through virtual representations.
The track aims to bring together experts in model-based, model-driven software and systems engineering and M&S experts, with the objective to advance the state of the art in M&S based systems engineering and simulation systems engineering.
Modeling and Simulation (M&S) is increasingly becoming a central activity in the design of new systems and in the analysis of existing systems because it enables designers and researchers to investigate systems behaviour through virtual representations.
The track aims to bring together experts in model-based, model-driven software and systems engineering and M&S experts, with the objective to advance the state of the art in M&S based systems engineering and simulation systems engineering.
Model-driven engineering approaches provide considerable advantages to software and systems engineering activities through the provision of consistent and coherent models at various abstraction levels. As these models are in a machine readable form, model-driven engineering approaches can also support the exploitation of computing capabilities for model reuse, code generation, model checking and test case generation, thus leading to a more productive modeling approach.
The 2019 Spring Simulation Conference (SpringSim’19) is an annual conference sponsored by The Society for Modeling and Simulation International (SCS), which covers state-of-the-art developments in Modeling & Simulation (M&S). SpringSim’19 invites original contributions to the theory and practice of modeling and simulation in any scientific or engineering discipline including but not limited to:
Modeling and Simulation (M&S) is increasingly becoming a central activity in the design of new systems and in the analysis of existing systems because it enables designers and researchers to investigate systems behaviour through virtual representations.
