AIDOaRt - AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems
Divisions:
Research Groups:
Industrial Software Engineering
Software Testing Laboratory
Status:
Start date:
End date:
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.
Requirements Classification for Smart Allocation: A Case Study in the Railway Industry (Sep 2023) Sarmad Bashir, Muhammad Abbas, Alessio Ferrari , Mehrdad Saadatmand , Pernilla Lindberg 31st IEEE International Requirements Engineering Conference (RE'23)
Requirement or Not, That is the Question: A Case from the Railway Industry (Apr 2023) Sarmad Bashir, Muhammad Abbas, Mehrdad Saadatmand , Eduard Paul Enoiu, Markus Bohlin, Pernilla Lindberg Requirements Engineering: Foundation for Software Quality (REFSQ 2023)
Gamifying model-based engineering: the PapyGame experience (Mar 2023) Antonio Bucchiarone , Maxime Savary-Leblanc , Xavier Le Pallec , Antonio Cicchetti, Sebastien Gerard , Simone Bassanelli , Federica Gini , Annapaola Marconi Software and Systems Modeling (SoSym)
Making Sense of Failure Logs in an Industrial DevOps Environment (Feb 2023) Muhammad Abbas, Ali Hamayouni , Mahshid Helali Moghadam, Mehrdad Saadatmand , Per Erik Strandberg 20th International Conference on Information Technology : New Generations (ITNG 2023)
Big Data Testing Techniques: Taxonomy, Challenges, and Future Trends (Jan 2023) Iram Arshad, Saeed Hamood Alsamhi, Wasif Afzal Computers, Materials & Continua (CMC)
Automation of the Creation and Execution of System Level Hardware-in-Loop Tests through Model-Based Testing (Nov 2022) Viktor Aronsson Karlsson, Ahmed Almasri, Eduard Paul Enoiu, Wasif Afzal, Peter Charbachi The 13th Workshop on Automating Test Case Design, Selection and Evaluation (A-TEST'22)
