SEJun 3, 2021

DEIS: Dependability Engineering Innovation for Industrial CPS

arXiv:2106.01729v16 citations
Originality Incremental advance
AI Analysis

This work addresses dependability engineering for automotive and industrial CPS, presenting a novel framework but with incremental advancements in system integration.

The DEIS project tackled the challenge of ensuring dependability in open and cooperative Cyber-Physical Systems (CPS) by developing technologies centered on the Digital Dependability Identity (DDI) concept, which enables modular and composable dependability information for efficient synthesis and evaluation in industrial applications.

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.

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