Simulation-based analyses of Cyber-Physical Systems are fundamental in industrial design and testing approaches. The utility of analyses relies on the correct configuration of the simulation tools, which can be highly complicated. System engineers can normally judge the results, and either evaluate multiple simulation algorithms, or change the models. However, this is not possible in a co-simulation approach. Co-simulation is a technique to perform full-system simulation, by combining multiple black-box simulators, each responsible for a part of the system. In this paper, we demonstrate the difficulty of correctly configuring a co-simulation scenario using an industrial case study. We propose an approach to tackle this challenge by allowing multiple engineers, specialized in different domains, to encode some of their experience in the form of hints. These hints, together with state-of-the-art best practices, are then used to semi-automatically guide the configuration process of the co-simulation. We report the application of this approach to a use case proposed by our industrial partners, and discuss some of the lessons learned.

LOng Time Archiving and Retrieval (LOTAR) of models is key to using the full capabilities of model-Based System Engineering (mBSE) in a system lifecycleincluding certification. The LOTAR MBSE workgroup is writing the EN/NAS 9300-Part 520 to standardize the associated process, in the aeronautics industry, and suggests the usage of Modelica, FMI and SSP standards for its purpose. Acceptance of such a process requires a match between industrial needs and software vendor implementations. This is helped by a tool-agnostic implementation of the process and following specific adaptations within the Modelon Impact software. This initiativeinside the LOTAR workgroupshighlights the suitability of such a process but also points at flaws or overhead due to the lack of connection between the Modelica, FMI and SSP standards, as well as the MoSSEC (ISO 10303-243) standard. The recommendations proposed in this document could have a significant impact on the final adoption of the LOTAR standardrelying on Modelica, FMI and SSP standards.