Project Details

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

Project Period: 1. 4. 2021 - 30. 9. 2024

Project Type: grant

Code: 8A21015, 101007350

Agency: ECSEL Joint Undertaking

Program: Společná technologická iniciativa ECSEL

Czech title
Automatizace vývojových operací (DevOps) za pomoci umělé inteligence

Software engineering, operating systems, computer languages, Artificial intelligence, intelligent systems, multi agent systems


The project targets the development of a model-based framework to support teams during the automated continuous development of CPSs by means of integrated AI-augmented solutions. The overall AIDOaRT infrastructure will work with existing data sources, including traditional IT monitoring, log events, along with software models and measurements. The infrastructure is intended to operate within the DevOps process combining software development and information technology (IT) operations. Moreover, AI technological innovations have to ensure that systems are designed responsibly and contribute to our trust in their behaviour (i.e., requiring both accountability and explainability).
AIDOaRT aims to impact organizations where continuous deployment and operations management are standard operating procedures. DevOps teams may use the AIDOaRT framework to analyze event streams in real-time and historical data, extract meaningful insights from events for continuous improvement, drive faster deployments and better collaboration, and reduce downtime with proactive detection.

Team members
Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , research leader
Hájková Gabriela, Mgr. (Děkanát FIT VUT)
Homoliak Ivan, Ing., Ph.D. (UITS FIT VUT)
Juříček Zdeněk, Jr. (Děkanát FIT VUT)
Kocman Radim, Ing., Ph.D. (CVT FIT VUT)
Kolář Martin, Ph.D. (UPGM FIT VUT)
Kula Michal, Ing., Ph.D. (UPGM FIT VUT)
Matýšek Michal, Ing. (UPGM FIT VUT)
Musil Petr, Ing., Ph.D. (UPGM FIT VUT)
Španěl Michal, Ing., Ph.D. (UPGM FIT VUT)
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT)




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