Academic Papers

Leveraging AI-Driven Requirements for SysML Modeling of the IOMT: A Comprehensive Investigation

2025

It can be challenging to determine system requirements and model systems for the Internet of Battlefield Things devices that must function in various highly demanding circumstances, especially considering all the potential problems these devices could encounter. To support military organizations, there needs to be a means to take advantage of AI/ML's capabilities to help appropriately and expeditiously derive secure requirements that enable efficient modeling of these systems. The application of a framework for requirements derivation and model-based systems engineering for Internet of Battlefield Things (IoBT) devices was examined in this literature review. This research investigates the Large Language Model’s capabilities to enhance the model-based systems engineering process.

  • Year: 2025
  • Category: Artificial Intelligence
  • Category: System Engineering
  • Tag: MBSE, LLM, Generative AI, requirements engineering, SysML, IoBT
  • Author: Joseph Brooks
  • Released: The International Association of Computer Investigative Specialists (IACIS)

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Joseph Brooks

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The above listed authors are current or former employees of Riverside Research. Authors affiliated with other institutions are listed on the full paper. It is the responsibility of the author to list material disclosures in each paper, where applicable – they are not listed here. This academic papers directory is published in accordance with federal guidance to make public and available academic research funded by the federal government.