The Model-Based Engineering of Digital Twins for early Verification and Validation of Industrial Systems (MATISSE) project, from the KDT 2023 call, has been approved and will start September 2024.
The main objective of the MATISSE project is to create a framework incorporating methods and tools for the efficient and continuous engineering and validation of industrial systems that are supported by Digital Twins (DT), leveraging the advantages of model-based, data-driven, and cloud techniques to enable validation and verification services to improve productivity and quality significantly.
The participation of ISEP is led by the SoftCPS laboratory, working in approaches for integration of real-time data, to provide the necessary real-time ingestion of data from the cyber-physical system into the DT, enabling a more accurate representation of state and behaviour, and in integrating into the DT runtime analysis methods of non-functional properties such as performance, security and reliability.
More information in the MATISSE page.