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Trustful Model-Based Information Exchange in Collaborative Engineering

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Systems, Software and Services Process Improvement (EuroSPI 2023)

Abstract

Automotive and aviation systems are undergoing a radical shift in their software and hardware architectures, affecting the processes and communities used to design them. On a technical level, we see a trend towards integration of heterogeneous function domains on centralized computing platforms. On a process and collaboration level, this trend implies two things: First, heterogeneous communities of OEMs and suppliers on different tiers need to collaborate intensely to create innovative software-intensive products. Second, these communities need to be able to exchange development artifacts efficiently by means of open, model-based exchange formats. Even competing companies will have to collaborate in such heterogeneous communities. We illustrate the challenges of trustful, model-based information exchange in heterogeneous development communities that arise due to intellectual property protection concerns. We identify data security threats for collaborative, model-based engineering processes and suggest guidelines that support trustful information exchange between partners of a heterogeneous community.

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Notes

  1. 1.

    https://www.panorama-research.org.

  2. 2.

    https://deis-project.eu/.

  3. 3.

    https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=vel.

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Acknowledgments

This research has been partially funded by the Federal Ministry of Education and Research (BMBF) under grant 01IS18057 and by Vinnova under grant 2018-02228 as part of the ITEA 3 project PANORAMA.

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Correspondence to Karsten Albers .

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Schmelter, D., Steghöfer, JP., Albers, K., Ekman, M., Tessmer, J., Weber, R. (2023). Trustful Model-Based Information Exchange in Collaborative Engineering. In: Yilmaz, M., Clarke, P., Riel, A., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2023. Communications in Computer and Information Science, vol 1890. Springer, Cham. https://doi.org/10.1007/978-3-031-42307-9_12

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  • DOI: https://doi.org/10.1007/978-3-031-42307-9_12

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  • Print ISBN: 978-3-031-42306-2

  • Online ISBN: 978-3-031-42307-9

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