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).

The overall idea of AIDOaRT is to efficiently support requirements, monitoring, modelling, coding, and testing activities during the software development process. AIDOaRT can be used as a platform to extend existing tools. To this intent, the project proposes the use of Model-Driven Engineering (MDE) principles and techniques to provide a model-based framework offering proper methods and related tooling.

The projects’ framework will enable the observation and analysis of collected data from both runtime and design time to provide dedicated AI-augmented solutions that will then be validated in concrete industrial cases involving complex CPSs.

Many leading companies have started visualising the automation of tomorrow to be brought about by full-blown Artificial Intelligence tech. While the number of companies that invest significant resources in software development is constantly increasing, the use of AI in the development and design techniques are still immature.

The global AIDOaRT infrastructure will work with existing data sources, including traditional IT monitoring, log events, application and more. The infrastructure is intended to work within the DevOps practices combining software development and information technology operations.

The 3-year project points at using AIOps to automate decision and process and complete system development tasks. AI technological innovations have to ensure that systems are designed responsibly contributes to our trust in their behaviour, and requires both accountabilities, meaning being able to explain and justify decisions, and explainability, understanding internal mechanics can be trusted and easily understood by humans.

04/2021 – 03/2024

H2020-ECSEL-2020, Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology,
grant agreement n° 101007350

Project Leader
Märladalen University Sweden, Gunnar Widforss

Partners (36 partners in total)
Technische Universität Wien
AIT Austrian Institut of Technology Gmbh
Automated Software Testing Gmbh
AVL List GmbH
Dynatrace Austria GmbH
TU Graz
CAMEA spol.s r 0
Cognitechna s.r.o.
Honeywell International s.r.o.
et al.

Project Website AIDOaRt

Manuel Wimmer
Luca Berardinelli



AIDOaRt: AI-augmented automation supporting modelling, coding, testing, monitoring and continuous development in Cyber-Physical Systems


A. Bagnato, A. Cicchetti, L. Berardinelli, H. Bruneliere, R. Eramo: AI-augmented Model-Based Capabilities in the AIDOaRt Project: Continuous Development of Cyber-Physical Systems. Challenges and New Approaches for Dependable and Cyber-Physical System Engineering (DeCPS 2022), co-located with the 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022), June, Ghent, Belgium, 17, 2022. pdf
Conference Article
R. Eramo, V. Muttillo, L. Berardinelli, H. Bruneliere, A. Gomez, A. Bagnato, A. Sadovykh, A. Cicchetti: AIDOaRt: AI-augmented Automation for DevOps, a Model-based Framework for Continuous Development in Cyber-Physical Systems, Euromicro Conference on Digital System Design, DSD 2021, Palermo, Italy, September 1-3, 2021. document
Conference Article