Abstract
We live in an increasingly complex world where all systems tend to include heterogeneous and interconnected components. To cope with these systems, industry is shifting towards co-engineering development processes where partners with very different roles and access needs must collaborate together. Therefore, protecting the intellectual property (IP) of the shared assets is a must. Model-Driven Engineering (MDE) may play a key role in the successful enactment of industrial co-engineering processes but only if it succeeds at integrating at its core the concern for IP protection, that has been up to the date largely ignored. In order to advance in this direction, we provide in this paper an initial roadmap towards the holistic protection of IP in collaborative modeling scenarios and we discuss how existing technologies such as Cryptography, Access-control (AC) or Digital Rights Management (DRM) are adapted and integrated in a framework for IP protection in the MDE.
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Notes
- 1.
Metamodels define the abstract syntax of a modeling language, i.e. they specify the elements that can appear in a model and how they can be related to each other. Metamodels are usually represented as models themselves.
- 2.
You can also add a default authorization policy to indicate whether allow or deny access to elements when an explicit permission is not provided.
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Acknowledgement
This work is partially funded by the H2020 ECSEL Joint Undertaking Project “MegaM@Rt2: MegaModelling at Runtime” (737494) and the Spanish Ministry of Economy and Competitivity through the project “Open Data for All: an API-based infrastructure for exploiting online data sources” (TIN2016-75944-R).
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Martínez, S., Gerard, S., Cabot, J. (2019). On the Need for Intellectual Property Protection in Model-Driven Co-Engineering Processes. In: Reinhartz-Berger, I., Zdravkovic, J., Gulden, J., Schmidt, R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2019 2019. Lecture Notes in Business Information Processing, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-20618-5_12
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