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Erschienen in:
2018 | OriginalPaper | Buchkapitel
DEIS: Dependability Engineering Innovation for Industrial CPS
verfasst von : Eric Armengaud, Georg Macher, Alexander Massoner, Sebastian Frager, Rasmus Adler, Daniel Schneider, Simone Longo, Massimiliano Melis, Riccardo Groppo, Federica Villa, Padraig O’Leary, Kevin Bambury, Anita Finnegan, Marc Zeller, Kai Höfig, Yiannis Papadopoulos, Richard Hawkins, Tim Kelly
Erschienen in: Advanced Microsystems for Automotive Applications 2017
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Abstract
The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotive CPS. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732242, see http://www.deis-project.eu) addresses these challenges by developing technologies that form a science of dependable system integration. In the core of these technologies lies the concept of a Digital Dependability Identity (DDI) of a component or system. DDIs are modular, composable, and executable in the field facilitating (a) efficient synthesis of component and system dependability information over the supply chain and (b) effective evaluation of this information in-the-field for safe and secure composition of highly distributed and autonomous CPS. The paper outlines the DDI concept and opportunities for application in four industrial use cases.