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

Status:

active

Start date:

2021-04-01

End date:

2024-03-31

Many companies are investing significant resources in software development, but the use of Artificial Intelligence (AI) in development and design techniques is still immature. AIDOaRt focuses on supporting the continuous development of embedded systems with artificial intelligence. Built-in systems are all the systems of built-in micro-computers that control our cars, trains, planes and telephones, almost everything in our environment. With AI, the project must be able to support development at all stages, as well as operation, improvement and maintenance of the products. There is thus a strong industrial interest in the project's solutions, as development is made more efficient and cheaper, and in the end they will also benefit the consumer level, in the form of better, cheaper, safer and more sustainable products.

The project aims to support development teams during the automated continuous development of embedded computers using integrated AI-enhanced solutions. The overall AIDOaRT infrastructure must work together with existing data sources, but we must also ensure that systems are designed responsibly and contribute to our confidence in their behavior. AIDOaRT aims to contribute to companies where continuous distribution and operation is the core business. The project's framework will be validated in concrete industrial cases involving complex embedded systems, in Sweden's cases including trains, construction machinery, etc.

AIDOaRt is coordinated by MDH and has a total turnover of € 24.4 million and employs 80 full-time equivalents with academic and industrial researchers, project managers and other staff in our 32 organizations. MDH's total cost for the project is SEK 26.5 million and we have almost 8 full-time equivalent researchers and project managers involved. The funding comes partly from ECSEL-JU and the European Commission, and partly from VINNOVA. Our Swedish partners are Alstom, VCE, RISE and Westermo.

[Show all publications]

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report (Apr 2024)
Johan Cederbladh, Luca Berardinelli , Damir Bilic, Hugo Bruneliere , Antonio Cicchetti, MohammedHadi Dehghani , Claudio Di Sipio , James Miranda , Abbas Rahimi , Riccardo Rubei
The 18th Annual International Systems Conference (SysCon24)

Correlating Logical and Physical Models for Early Performance Validation - An Experience Report (Apr 2024)
Johan Cederbladh, Marcel Gottschall , Jagadish Suryadevara, Khaled Alekeish
The 18th Annual International Systems Conference (SysCon24)

Towards Adopting a Digital Twin Framework (ISO 23247) for Battery Systems (Apr 2024)
Johan Cederbladh, Enxhi Ferko, Emil Lundin
ITNG 2024: Conference on Information Technology : New Generations (ITNG 2024)

Towards AI-centric Requirements Engineering for Industrial Systems (Apr 2024)
Sarmad Bashir
46th International Conference on Software Engineering: Companion Proceedings (ICSE'24)

Experiences and Challenges from Developing Cyber-Physical Systems in Industry-Academia Collaboration (Apr 2024)
Johan Cederbladh, Romina Eramo , Vittoriano Muttillo , Per Erik Strandberg
Wiley, Software: Practice and Experience (SPE)

Towards Formalizing a Systems of Systems Core Ontology for Capability Configuration, a SysML Approach (Mar 2024)
Joyce Martin, Johan Cederbladh
Conference on Systems Engineering Research 2024 (CSER24)



Olga Hendel, Project Manager

Room:
Phone: 0046 - 736221323