Track: Quality Aspects in Digital Twins and Cyber-physical Systems
Cyber-Physical Systems (CPS) are increasingly playing an important role in our day-to-day lives. Their applications spread over many domains such as in medical systems, transportation, energy, and telecommunication sectors. Thus, it is important to make sure that CPS are of high quality and provide reliable services. On the other hand, Digital Twins, which are a virtual representation of a system, are increasingly becoming predominant as it supports new software engineering activities (e.g., DevOps) that previously were not possible in complex systems like CPSs.
This track solicits paper on methods, approaches, tools, and empirical evaluations focusing on ensuring quality of Digital twins and CPSs. Given the importance of Digital Twins and CPSs in industry, we also encourage practitioners to submit papers covering experiences, technologies, lessons learnt, and future directions related to quality in Digital Twins and CPSs.
Aitor Arrieta is a lecturer and researcher at Mondragon University. He got his PhD in software engineering at Mondragon University in 2017. The PhD was awarded by SISTEDES as the best PhD in software engieering preseted in 2017. In addition, he was awarded by SCIE and Fundación BBVA as an early-stage researcher for his research in the field of software development and testing of industrial applications. He currently leads the ADEPTNESS H2020 project, which aims at researching on DevOps methods to be applicable and scalable in Cyber-Physical Systems.