AI-augmented automation supporting modeling, coding, testing, monitoring, and continuous development in Cyber-Physical Systems
What is AIDOaRt?
Industrial Case Studies
Funding (M € )
AIDOaRt is a 3 years long H2020-ECSEL European project involving 32 organizations, grouped in clusters from 7 different countries, focusing on AI-augmented automation supporting modeling, coding, testing, monitoring, and continuous development in Cyber-Physical Systems (CPS).
- To create a framework incorporating methods and tools for continuous software, system engineering and validation, leveraging the advantages of AI techniques (notably Machine Learning) to provide benefits in significantly improved productivity, quality, and predictability of CPSs, CPSoSs, and, more generally, large and complex industrial systems.
Providing a model-based framework to support the CPS development process by introducing AI-augmented automation.
Enhancing the DevOps toolchain by employing AI and Machine Learning (ML) technique in multiple aspects of the system development process
Supporting the collection, representation, and traceability of runtime data and software models, and analyzing both historical and real time data in combination with design information
- National clusters
AIDOaRt brings together participants from Austria, Finland, France, Italy, Spain, Sweden, and the Cz.
- Industrial Case Studies
Six case studies will ensure that all AIDOaRt has a direct impact on the European Industry. They cover a variety of domains, all under the umbrella of AIDOaRt AI-augmented Toolkit extensions and are based on: Requirements. Monitoring, Modeling, Coding, and Testing.