Nowadays, simulative approaches are mandatory to analyze, design, evaluate, and to prepare real test–runs during the development of these CPS. They enable risk–less and resource–efficient experiments to validate system functions and product families. For example, complex simulations of sensors and the environment are required during the development and validation of self–driving vehicles to safely test the sensor data fusion and algorithms for situation–adaptive driving decisions. The models, which are utilized in these simulations, are continuously improved and enable in the foreseeable future complex analyses of the simulated system, its behavior, and its context. However, simulation experts to design, realize, and maintain these interconnected simulations as well as the simulation environments are limited factors during the development. Thus, methods, metrics, and tools for the engineering of these complex simulation systems are required to effectively design and evaluate these CPS also in the future.<br>Call for papers<br>We invite submissions according to the following potential topics for the workshop ES4CPS, which are not limited to:<br>– Simulations for sensor–based and interconnected CPS<br>– Cloud–based simulations for CPS<br>– Metrics to analyze, monitor, and optimize simulations for CPS<br>– Approaches for simulations for the evolution of sensory and environmental models<br>– Planning and management of simulations for CPS<br>– Methods for combining and aligning simulations and real test–runs<br>– Simulation–based prediction models to plan, manage, and optimize real test–runs<br>– Planning and management of simulation–supported real test–runs for sensor–based and interconnected CPS<br>– Simulation for testing, validation, verification of CPS<br>– Experience reports<br>– Tool support and simulation environments<br>
Abbrevation
ES4CPS
City
Dresden
Country
Germany
Deadline Paper
Start Date
End Date
Abstract