Abstract
The ever-evolving automotive domain undergoes a fundamental shift from hardware-based to software-centric high-tech products with a high level of service integration. Connected and automated vehicles enable data-driven innovations through modern, upgradeable, flexible, and extensible software architectures, artificial intelligence, and specialized hardware with built-in connectivity. Such vehicles operate in a safety-critical and time-sensitive environment and are subjected to various nonfunctional requirements including quality, reliability, security, and safety. However, testing these requirements poses several challenges and requires large heterogeneous data sets from real-world scenarios. While on-road testing is a huge effort in both time and cost, traffic simulations in combination with further simulations allow to prove the technical feasibility and reduce the risks for sophisticated and expensive software developments. Currently, a lot of research is conducted in the domain of automated driving systems, but there is a lack of simulation-based testing approaches that focus on the connectivity dimension and, in particular, mobility services running in the cloud and serving multiple vehicles at scale. Therefore, we propose a modeling approach to describe scenarios that involve cloud-based mobility services. More precisely, an ontology along with a corresponding domain-specific language is introduced that allows one to formally represent the domain concepts, their characteristics, and interrelationships through model-based scenario descriptions. Furthermore, we discuss
the notation for the language and propose a web-based user interface that abstracts domain complexity.