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AIDOaRT

Project Details

Description

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

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.
Short titleAIDOaRT
StatusFinished
Effective start/end date01/04/2130/09/24

Collaborative partners

  • Åbo Akademi University (lead)
  • Qentinel (Project partner)
  • Anders Innovations (Project partner)
  • Mälardalen University (Project partner)

Funding

  • European Commission

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  • Requirement falsification for cyber-physical systems using generative models

    Peltomäki, J. & Porres, I., Mar 2025, In: Automated Software Engineering. 32, 33.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    3 Citations (Scopus)
    87 Downloads (Pure)
  • Unified Search for Multi-requirement Falsification for Cyber-Physical Systems

    Winsten, J. & Porres, I., 2025, 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2025. Fasolino, A. R., Panichella, S., Aleti, A. & Mesbah, A. (eds.). IEEE, p. 235-243 9 p. (2025 IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2025).

    Research output: Chapter in Book/Conference proceedingPublished conference proceedingScientificpeer-review

    1 Citation (Scopus)
    7 Downloads (Pure)
  • Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

    Winsten, J., Soloviev, V., Peltomäki, J. & Porres, I., 14 Apr 2024, Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024. ACM, p. 43-44 2 p. (Proceedings - 2024 IEEE/ACM International Workshop on Search-Based and Fuzz Testing, SBFT 2024).

    Research output: Chapter in Book/Conference proceedingPublished conference proceedingScientificpeer-review

    Open Access
    File
    6 Citations (Scopus)
    97 Downloads (Pure)