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



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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]

A Dynamic Threshold Based Approach for Detecting the Test Limits (Oct 2021)
Cristina Landin, Jie Liu , Sahar Tahvili
The Sixteenth International Conference on Software Engineering Advances (ICSEA 2021)

Multi-paradigm modeling for cyber-physical systems: A systematic mapping review (Sep 2021)
Ankica Barišić , Ivan Ruchkin , Dušan Savić , Mustafa Abshir Mohamed , Rima Al-Ali , Letitia W. Li , Hana Mkaouar , Raheleh Eslampanah , Moharram Challenger , Dominique Blouin , Oksana Nikiforova , Antonio Cicchetti
Journal of Systems and Software (JSS)

AIDOaRt: AI-augmented Automation for DevOps, a Model-based Framework for Continuous Development in Cyber-Physical Systems (Sep 2021)
Romina Eramo , Vittoriano Muttillo , Luca Berardinelli , Hugo Bruneliere , Abel Gomez , Alessandra Bagnato , Andrey Sadovykh , Antonio Cicchetti
24th Euromicro Conference on Digital System Design (DSD), Special Session on European Projects in Digital Systems Design (EPDSD), (DSD2021)

Olga Hendel, Project Manager

Phone: 0046 - 736221323