AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems
Horizon 2020
Approval no 101007350
Start: 2021
End: 2024

The major objective of the AIDOaRt project is to provide a model-based framework to more efficiently support the continuous software and system engineering of large and complex Cyber-Physical Systems (CPS) via AI-augmentation.

Nowadays, modern systems in the domains of Industry 4.0, health care, autonomously driving cars or smart grids are examples of highly communicating (mostly embedded) systems where software enables increasingly advanced functionality. The growing complexity of these large and complex CPSs poses several challenges throughout all system design, development and analysis phases, but also during their deployment, actual usage and future maintenance. We are convinced that the integration of AI techniques can significantly affect and improve the whole development process.

In particular, AIDOaRt targets the support for requirements, monitoring, modeling, coding and testing activities as part of a continuous development (DevOps) in CPSs via AI-augmented automation (AIOps). To this end, AIDOaRt proposes the use of Model Driven Engineering (MDE) principles and techniques to provide a model-based framework offering proper methods and related tooling. This framework will notably enable the observation and analysis of collected data from both runtime and design time in order to provide dedicated AI-augmented solutions that will then be validated in concrete industrial cases involving complex CPSs.

AIDOaRt model

Expected outcomes

  • Increasing productivity, reducing development costs and time-to-market ;
  • Improving the competitiveness of European industries by moving innovations into products, services and markets ;
  • Secure the access to any innovative software and hardware technology enabling the efficient engineering process of large and complex CPSoS ;
  • Driving the growth of safety & security revenues in the European market re-enforcing the European companies’ position and market share ;
  • Simplify the development of systems and applications at the edge of the network, and guarantee their quality while reducing the skill level required to the developer.

IMT Atlantique Role

NaoMod Team – DAPI : Research expertise in software engineering and modeling in the context of complex and large-scale systems (e.g. Cyber-Physical Systems). Long-term experience in developping and disseminating research tools/prototypes in open source.

Les partenaires académiques et industriels

32 partenaires issus de 7 pays européens différents (Autriche, République Tchèque, Finlande, France, Italie, Espagne, Suède) :

  • 10 partenaires académiques (IMTA, Université de l’Aquila, Université Ouverte de Catalogne, Université de Linz, etc.),
  • 3 instituts de recherche,
  • 12 PMEs et 7 grandes entreprises (Volvo, Bombardier-Alstom, AVL, etc.)



32 partners from 7 different European countries (Austria, Czech Republic, Finland, France, Italy, Spain, Sweden) :

  • 10 academic partners (IMTA, University of L’Aquila, Open University of Catalunya, University of Linz, etc.),
  • 3 research institutes,
  • 12 SMEs and 7 large companies (Volvo, Bombardier-Alstom, AVL, etc.).
  • The whole project is coordinated by Mälardalen University (Sweden), the French consortium is made of IMTA (coordinator), Softeam-Docaposte, Clearsy and



  • Coordinator: Gunnar Widforss (Mälardalen University, Sweden)

  • IMT Atlantique: Hugo Bruneliere : Member of the project management team, coordinator of the French consortium, WP3 leader.

Project challenges
Sustainable Development Goals

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