Modelling Automotive Function Nets with Views for Features, Variants, and Modes
This work addresses the problem of improving design decision-making for automotive system developers, but it appears incremental as it builds on existing SysML notations.
The paper tackles the challenge of modeling large and complex automotive logical architectures by introducing function nets with SysML-based notation, and it enhances developer utility through comprehensible views for features, variants, and modes.
Modelling the logical architecture of an automotive system as one central step in the development process leads to an early understanding of the fundamental functional properties of the system under design. This supports developers in making design decisions. However, due to the large size and complexity of the system and hence the logical architecture, a good notation, method and tooling is necessary. In this paper, we show how logical architectures can be modelled succinctly as function nets using a SysML-based notation. The usefulness for developers is increased by comprehensible views on the complete model that describe automotive features, variants, and modes.