Easing Adoption of Model Based System Engineering With Application of Generative AI

Though Model based System Engineering (MBSE) for complex products has manifold advantages, there is a need to find techniques to facilitate its adoption. Here, we discuss ML technique based on Generative AI particularly Natural Language Processing (NLP) and propose its integration with existing MBSE tools. The conceptual framework of generating requirements from unstructured documents using NLP is presented. The same technique to be utilized for generating Systems Modeling Language (SysML) model entities by training NLP model with labelled data. Once the model is trained and integrated with SysML tool, it eases applying MBSE for multi-domain multidisciplinary complex systems.