In model design, to improve maintainability and reusability and reduce errors, encapsulation techniques and simple, modular design methods should be adopted. For this purpose, ISO 26262 proposes model architecture design principles: use a hierarchical structure, limit model size; limit interface size; increase intra-unit cohesion; reduce inter-unit coupling.

MSAnalyser employs classic software complexity calculation methods combined with our deep understanding of models to successfully apply these principles in practice. By filtering various elements within a model and calculating the complexity at different hierarchical levels, it provides metrics for evaluating the rationality of the hierarchical structure. Utilizing the latest precise algorithms, it identifies reusable parts within the model and calculates subsystem cohesion and coupling, offering methods for functional partitioning and model size reduction. By analyzing dependencies between simulations, it finds unused signals, providing guidance for reducing coupling between units. The use of MSAnalyser translates theory into practical guidance, achieving twice the result with half the effort.