Towards Digital Twins for the Description of Automotive Software Systems
This work addresses the need for accurate digital representations of automotive software systems, which is an incremental advancement in automotive engineering.
The authors developed models for automotive software systems that capture both quantitative and qualitative aspects of software and hardware, including computing power from controllers to the cloud, to serve as digital twins for describing these systems.
We present models for automotive software that capture quantitative and qualitative aspects of software systems and the underlying hardware architecture. In particular, we consider different levels of computing power. These range from controllers up to the cloud. We present a modeling approach for software deployment taking different automotive requirements such as criticality, latency, memory, computational resources, and communication into account. Our models capture automotive software and hardware system configurations and can serve as digital twins that are digital counterparts of (usually) physical entities. Furthermore, we highlight connected research areas and challenges.