Innovative design for embedded software systems

The next generation of networked embedded systems (ES) requires fast prototyping and high performance in addition to its key properties of reliability and safety. However, the dependence of the current autonomous systems trend on machine learning and artificial intelligence applications in combination with fail-operational requirements makes the verification and validation of ES a challenging endeavour. The EU-funded XANDAR project will address the goals defined within the ICT-50-2020 Software Technologies call, delivering a mature software toolchain that fulfils the industrial requirements for rapid prototyping of interoperable and autonomous ES. A model-based system architecture to support novel automatic model synthesis and software parallelisation techniques will be used to achieve the objectives of a new real-time, safety- and security-by-construction paradigm.

Project Objective

The next generation of networked embedded systems (ES) necessitates rapid prototyping and high performance while maintaining key qualities like trustworthiness and safety. However, deployment of safety-critical ES suffers from complex software (SW) toolchains and engineering processes. Moreover, the current trend in autonomous systems relying on Machine Learning (ML) and AI applications in combination with fail-operational requirements renders the Verification and Validation (V&V) of these new systems a challenging endeavor. Prime examples are autonomous driving cars that are prone to various safety/security vulnerabilities. The XANDAR project is built to exactly match the goals defined within the ICT-50 Software Technologies.

XANDAR will deliver a mature SW toolchain (from requirements capture down to the actual code integration on target including V&V) fulfilling the needs of the industry for rapid prototyping of interoperable and autonomous ES. Starting from a model-based system architecture, XANDAR will leverage novel automatic model synthesis and software parallelization techniques to achieve specific non-functional requirements setting the foundation for a novel real-time, safety-, and security-by-Construction (X-by-Construction) paradigm. For the first time, XbC-guided code generation for non-deterministic ML/AI applications will be combined with novel runtime monitors to ensure fail-operation in the presence of runtime faults and security exploitations. The project provides a consortium covering the full spectrum of ES and software engineering. XANDAR will be validated by an automotive OEM (BMW) and the German Aerospace Center (DLR). Leading European SMEs and enterprises such as Vector, AVN, and fentISS as well as successful academic partners will contribute their diverse knowhow in Model-Driven Engineering, Software Systems and V&V, multicore architectures, code generation, and security enforcements from higher-level behavioral models to actual runnables.

XANDAR
  • 957210
  • Jan 01 2021
    Dec 31 2023
  • https://xandar-project.eu/
  • Software Operations
  • Software Technology
  • Contact

Deliverables