While systems have been growing in complexity, a booming trend in many engineering fields has been to enhance the use of MBSE over natural language to facilitate the representation of system characteristics.

Despite the fact that it might tear down language barriers, it also takes away human constituents such as social, cultural, technical diversity which are important to challenge requirements and make sure the expected goal matches the original intent and needs from stakeholders. Textual requirements contain somehow implied and implicit “human attributes” that are not contained in any standard modelling language, and are key information to understand how our man-made systems shall be designed to meet more and more demanding user expectations.

How do we express the social acceptance of a future system in a model other than with natural language? How can the lack of natural language affect cross-border manufacturers while defining system requirements?

In this presentation the focus will be made on the human factors as key drivers of RE, keeping natural language alive while having it interface with the MBSE world, and the challenges of NLP to filter the negative impacts of the textual form of communication.

The REUSE Company has been specialized for more than 20 years in the application of semantic technologies and artificial intelligence to improve the digitalization of Systems Engineering life cycle activities.