Modeling and analysis of partitions on functional architectures using EAST-ADL

The complexity in automotive systems engineering is increasing over the last decade. Autonomous driving and new comfort functions are some reasons for this growing complexity. With the introduction of multi-core processors in automotive system architectures, the shift from sequential to parallel thinking is more and more important in the different development phases. Based on the EAST-ADL, we present an approach to support the design process for distributed systems by using partitioning as an additional viewpoint on the architecture level. Therefore, we developed an extension to the EAST-ADL for partitioning and show automatic partitioning analysis on different architecture abstractions. These derived partitions can support system designers during the design process of functional architectures, by having a first insight how independent the functional components are structured from a data dependency viewpoint. This gives hints for the allocation of functions to hardware in later stages of the development process