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Project Information

Project Information

Scope:
It is expected that in the future, the physical and digital worlds will merge into a largely connected globe. This is backed by the emergence of notions such as Cyber-Physical-System (CPS). Ensuring the dependability of such (CPS) systems is the key to unlocking their full potential and enabling European industries to develop confidently business models that will nurture their societal uptake. The DEIS project will bring significant impact to the CPS market by providing new engineering methods and tools reducing development time and cost of ownership, as well as supporting integration and interoperability of dependability information over the product life-cycle and over the supply chain.

Objectives:
DEIS’ main innovations and key results are:
 
  • Objective 1. An open dependability exchange (ODE) metamodel and a universal format for specifying DDIs, including:
    • Definition of the ODE metamodel
    • Definition of general form of DDIs
    • Tooling support for the manual modelling of DDIs
    • Tooling support to check the validity of DDIs
       
  • Objective 2. A framework for the creation and modular synthesis of DDIs, including:
    • Tooling support for expressing existing dependability models in ODE-compliant format
    • Algorithms and tooling support for synthesis of DDIs
    • Algorithms and tooling support for integration of DDIs into the dependability assurance cases
    • Algorithms and tooling support for change-impact analysis on DDIs
       
  • Objective 3. A framework for the in-the-field dependability assurance in CPS, including:
    • Development of infrastructures for evaluation of integration of new systems in the field
    • Development of algorithms for the on-board evaluation of DDIs
       
  • Objective 4. Development of autonomous and connected CPS use cases for different application domains, and validation of applicability and scalability of the DDIs, including:
    • Evaluation of effectiveness of approach
    • Evaluation of applicability across industries
    • Evaluation of runtime mechanisms
    • Evaluation of systems produced in four case studies

Technical Approach

The concept of DDIs will be continuously refined throughout DEIS in three innovations cycles.

The first innovation cycle (1) will focus on the fundamentals including the definition of appropriate formats of DDIs as well as the ODE. As a first step towards the dependability collaboration workspace, existing tools will then be extended with interfaces to the workspace based on the ODE. Moreover, the first tools for the modelling of DDIs and ODE-compliant dependability models will be created, so that a loose coupling between different companies and their tools along the value chain becomes possible.

The second innovation cycle (2) will then focus on the semi-automated generation of DDIs as well as semi-automated analyses based on DDIs. Based on the research results of this innovations cycle, component providers can generate a DDI for their component based on their existing dependability documentation, independently from which tool or methodology they use. The component integrator can then include the components’ DDIs to compile the dependability assurance case for his system.

The third innovation cycle (3) then considers the automated integration of decentralized systems of systems during field operation. In principle this step follows a similar approach to the previous innovation cycle, but a higher degree of automation is required. There are two main scenarios to be considered at this stage. In the first scenario, we consider a static check to determine whether a system can be dependably integrated into a CPS. In the second scenario of this innovation cycle, we assume system integration during field operation. In this scenario, static dependability checks are not possible but checks during field operation are requested.

Project Structure

The DEIS consortium is composed of ten partners from five European countries. A strength of the DEIS consortium is its complementary expertise both (a) for the development of CPS products and solutions in different application domains, and (b) for the development of novel dependability engineering methods and tools. This unique combination within this small ecosystem strongly supports know-how transfer and identification of cross-domain, innovative solutions. Further, the application of the DDIs for heterogeneous applications (three application domains, 3 large use cases and one SME) shall illustrate the relevance and scalability of the proposed approach.

Further, the mix of three large companies (SAG, GM, AVL), two small and medium enterprises (I&M, PMT) and five scientific partners (IESE, UHUL, UoY, PoM, Lero) provide a perfect balance (a) to generate state-of-the-art concepts, (b) to industrialize the concepts to innovation, and finally (c) to industrialize the innovations to products and solutions in a global market, thus increasing European competitiveness. The DEIS project brings together academia and industry to collaborate on future CPS architecture and platforms.