AI-augmented framework to automate the continuous development of cyber-physical systems
Artificial intelligence (AI) technologies and AI-augmented automation support can be used to improve the continuous development of cyber-physical systems (CPSs). However, despite considerable interest in AI technology, few resources are being allocated for their improvement. Thus, the EU-funded AIDOaRt project aims to efficiently support requirements, monitoring, modelling, coding, and testing activities during the CPS development process. The project proposes the use of model-driven engineering (MDE) principles and techniques to provide a model-based framework offering proper methods and related tooling. The global AIDOaRT infrastructure will work with existing data sources, including traditional IT monitoring, log events, applications and more.