TY - CHAP A1 - Armengaud, Erik A1 - Macher, Georg A1 - Massoner, Alexander A1 - Frager, Sebastian A1 - Adler, Rasmus A1 - Schneider, Daniel A1 - Longo, Simone A1 - Melis, Massimiliano A1 - Groppo, Riccardo A1 - Villa, Federica A1 - O’Leary, Padraig A1 - Bambury, Kevin A1 - Anita, Finnegan A1 - Zeller, Marc A1 - Höfig, Kai A1 - Papadopoulos, Yiannis A1 - Hawkins, Richard A1 - Kelly, Tim T1 - DEIS: Dependability Engineering Innovation for Industrial CPS T2 - Advanced Microsystems for Automotive Applications 2017 N2 - 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. KW - Industrial CPS KW - Dependability Engineering KW - Automotive Applications Y1 - 2018 SP - 151 EP - 163 PB - Springer CY - Cham ER -