Generative Model-Based Systems Engineering for Electronics

This white paper presents generative model-based systems engineering (MBSE) as a solution to the increasing complexity in the design of next-generation electronics. It outlines how traditional development methods struggle to manage the intricacies of connected systems, which include wearables and smart appliances, leading to inefficiencies and costly redesigns. Generative MBSE shifts the focus from physical-centric to system-centric development, enhancing system models with electronics semantics and integrating AI and machine learning for automated model generation. The paper details methodologies for adopting generative MBSE, emphasizing the importance of a centralized platform for data continuity and collaboration. It discusses the need for effective architecture management and verification across various abstraction levels, providing a roadmap that includes strategies for validating user experience and performance requirements, partitioning hardware architecture, and minimizing redundant testing. The approach aims to improve system reliability and streamline engineering processes, ultimately offering a competitive advantage in the evolving electronics landscape.