DEIS: Dependability Engineering Innovation for Industrial CPS

Erik Armengaud*, Georg Macher, Alexander Massoner, Sebastian Frager, Rasmus Adler, Daniel Schneider, Simone Longo, Massimiliano Melis, Riccardo Groppo, Federica Villa, Padraig O'Leary, Kevin Bambury, Finnegan Anita, Marc Zeller, Kai Hoefig, Yiannis Papadopoulos, Richard Hawkins, Tim Kelly

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


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 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.
Original languageEnglish
Title of host publicationAdvanced Microsystems for Automotive Applications 2017
Place of PublicationCham
Number of pages13
ISBN (Print)978-3-319-66971-7
Publication statusPublished - 3 Jun 2021

Publication series

NameLecture Notes in Mobility


  • cs.SE


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