Software developers in the automotive and aircraft industries will face major challenges in the future. Future mobility will be electrified, automated and highly networked. For example, in 2030 it is expected that up to 37 % of the kilometers driven will be covered with autonomous vehicles is covered. Consequently, future mobility systems will contain a high a number of complex and compute-intensive software functions distributed over a few powerful and specialized embedded hardware systems ("Electric/Electronic architectures", or E/E architectures for short). As a result, mobility systems will be subject to radical changes in the way E/E architectures are designed, software and hardware are integrated, and development processes are shaped. Three central, heterogeneous fields of tension are emerging:
The joint research project PANORAMA aims to develop model-based methods and tools and to make them available as an open source integration platform, which make the collaborative development of heterogeneous and complex E/E architectures between different partners in mobility value chains more efficient. The main line of action is extending the scope of current system-level approaches by enhancing existing abstract performance meta-models to be suitable for heterogeneous hardware and various function domains. PANORAMA aims in particular at early phases of design and supports efficient design decisions by defining open de facto standards, tools and best practices for the exchange of non-functional, formal models.
OFFIS will support the project consortium in extending existing AMALTHEA metamodels and jointly defining consistent model types and abstraction levels. The integration of suitable extensions based on the results of ARAMiS II forms another crucial building block.
The main focus of OFFIS activities is the integration of modeling artifacts required to perform an integrated safety analysis according to ISO 26262, taking into account collaborative design processes and ensure traceability. Finally, OFFIS implements analysis functions based on the APP4MC open source project to demonstrate the applicability of the developed methods. The intended work also comprises the establishment of a project community and the external dissemination of the results.