Name: AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems.

Acronym: AIDOaRt

Start date: 01/04/2021 End date: 31/03/2024

Budget: 24.565.448,75 €

Funding source: H2020-ECSEL-2020, Federal Ministry of Education, Science and Research,
Grant Agreement n° 101007350

Project objectives: The project idea is focusing on AI-augmented automation supporting modeling, coding, testing, and monitoring through the development of a model-based framework to support teams during the automated continuous development of Cyber-Physical Systems (CPSs) by means of integrated AI-augmented solutions like Machine Learning

Key technology involved: Software engineering, operating systems, computer languages. Scientific computing, simulation, and modelling tools. Cyber-physical systems. Artificial intelligence, Machine Learning, intelligent systems and multi agent systems

Ro Technology output/expected output: Creating a framework incorporating methods and tools for continuous software and system engineering and validation leveraging the advantages of AI techniques (notably Machine Learning) in order to provide benefits in significantly improved productivity, quality and predictability of CPSs, CPSoSs and, more generally, large and complex industrial systems

Project website:




Lead partner:  Märladalen University Sweden, Gunnar Widforss

All partners: