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

What is AIDOaRt?

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 modelling, coding, testing, monitoring and continuous development in Cyber-Physical Systems (CPS). The growing complexity of CPS poses several challenges throughout all software development and analysis phases, but also during their usage and maintenance.


Our Objectives

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 (as modelling, coding, testing and monitoring).

Supports the collection, representation and traceability of runtime data and software models, assists in the analysis of both historical and real time data in combination with design information and supports the automation of tasks of the DevOps pipeline according to the results of previous analysis.

Expected Impact

We expect an industrial uptake of AIDOaRt technologies on the development of complex systems that scales up to real systems demand with relevance for all critical applications.

The overarching goal of AIDOaRt is to support requirements, monitoring, modelling, coding, and testing as part of a continuous system engineering (CSE) in Cyber-Physical Systems (CPS) and System of Systems (CPSoS) via AI-augmented automation. AIDOaRT proposes to enhance the engineering process with AI-augmented methods (A IOps), integrating DevOps and Model-Driven Engineering (MDE) principles, to observe and analyse collected data from both runtime and design time artefacts in rapid CSE cycles.






Case Studies




National clusters

AIDOaRt brings together participants from Austria, Finland, France, Italy, Spain, Sweden and the Czech Republic.

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.


Each country brings in at least one university to make sure there is enough researcher to provide innovative solutions to AIDOaRt industrial challenges all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

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