Functional Mock-up Interface: An empirical survey identifies research challenges and current barriers

Schweiger, Gerald; Gomes, Cláudio; Engel, Georg P.; Hafner, Irene; Schoegg, Josef-Peter; Posch, Alfred; Nouidui, Thierry Stephane

doi:10.3384/ecp18154138

Cited by 20 publications

(4 citation statements)

References 24 publications

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“…A recent survey (Schweiger et al, 2018) corroborates prior research work (see Section 6) in defining the main challenge: users do not always know how to configure the co-simulation. This challenge is formalized in Section 3.…”

Section: Introductionsupporting

confidence: 68%

HintCO – Hint-based Configuration of Co-simulations

Gomes

Oakes

Moradi

et al. 2019

Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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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.

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Section: Introductionsupporting

confidence: 68%

HintCO – Hint-based Configuration of Co-simulations

Gomes

Oakes

Moradi

et al. 2019

Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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“…However, commonalities emerge for certain problems and promising standards, which are to some extent already worked on by experts from different disciplines in international cooperation. Final results of the survey can be found in [14] and [15].…”

Section: Resultsmentioning

confidence: 99%

Co-Simulation - An Empirical Survey: Applications, Recent Developments and Future Challenges

Schweiger¹,

Engel²,

Schoeggl³

et al. 2020

SNE

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This article describes the first results of an empirical survey on co-simulation conducted with over 50 experts in this field. In the last decades, cosimulation has become an important tool to meet challenges emerging from the increasing complexity of systems and the need for efficient collaboration between experts in different disciplines. However, research on this topic has been motivated by varying fields of interest and developed with different perspectives on application and thus lead to different definitions and emphases within this topic. The present survey aims to clarify some of these different perceptions and open research fields.

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“…The coordination of multiple FMUs is done through an orchestration engine [23], which acts as an FMI master. Such FMI masters have not been standardised, and offer challenges in both research and practice [18]. However, there is a long list of modelling and simulation tools that are able to export their functionality as independent FMUs 2 .…”

Section: Functional Mockup Interfacementioning

confidence: 99%