(2018 - 2019) RA, University of York
Funded by EU Horizon 2020, £313,415
Cyber-Physical-Systems (CPS) provide the potential for vast economic and societal impact in domains such as automotive, health care and home automation. The open and cooperative nature of CPS poses a significant new challenge in assuring dependability. The DEIS project addresses this important and unsolved challenge by developing technologies that enable a science of dependable system integration.
Such technologies facilitate the efficient synthesis of components and systems based on their dependability information. The key innovation in the approach of the DEIS project is the concept of Digital Dependability Identity (DDI). A DDI contains all the information that uniquely describes the dependability characteristics of a CPS component. DDIs are used for the integration of components into systems during development as well as for the dynamic integration of systems into systems of systems in the field.
The Digital Dependability Identity (DDI) is a comprehensive digital representation that contains all the information uniquely describing the dependability characteristics of a CPS component. DDIs serve multiple purposes:
The DEIS project aims to:
The project has contributed to:
The project involved collaboration with industry partners including AVL, Siemens, General Motors, and Fraunhofer, working together to develop model-based autonomous and cyber-physical systems.
For more information: [Project Website] | [DDI Demo Video]
This project contributes to our research focus on: