Leveraging Large Language Models for Direct Interaction with SysML v2

John K. DeHart
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Abstract

This paper examines the potential integration of Large Language Models (LLMs) with the Systems Modeling Language version 2 (SysML v2), proposing a novel methodology for systems engineering by capitalizing on the enhanced readability and human-friendly syntax of SysML v2. Given the emergent sophistication of LLMs and the coincidental development of SysML v2—-an endeavor that presents a pivot toward naturally articulated model interaction—-we explore the possibilities and implications of such an intersection. Our investigation posits that LLMs can serve not only as an interpretive layer, allowing for the syntactically simplified manipulation of system models, but also as a catalyst for a knowledge-driven design approach.

We highlight the efficiencies gained by deploying LLMs for SysML v2 interactions, which reduce the dependency on technical expertise traditionally needed for API navigation and model management. Through case studies and analysis, we demonstrate that the conversational engagement with system models facilitated by LLMs can lead to a democratized and accelerated design process. However, this advent is tempered by a critical awareness of potential pitfalls, such as automation bias and overreliance on automated systems—-underscoring the need for continued human oversight and the examination of ethical considerations.

Emphasizing the chance of SysML v2 being inherently English-based and the parallel maturation of LLMs, this paper suggests that the collaborative utilization of these concurrent advancements may offer an opportune fusion, potentially revolutionizing the way systems are modeled and managed. Future work involves the empirical validation of these approaches and a deeper investigation into interoperability with existing and future systems engineering ecosystems. The ultimate goal is to ensure that this fusion not only complements human expertise but also propels systems engineering into a new era of innovation and holistic design.

利用大型语言模型与 SysML v2 直接交互
本文探讨了大型语言模型(LLM)与系统建模语言第 2 版(SysML v2)的整合潜力,提出了一种利用 SysML v2 增强的可读性和人性化语法进行系统工程的新方法。鉴于 LLM 的复杂性和 SysML v2 的发展不谋而合--SysML v2 是实现自然衔接的模型交互的支点--我们探讨了这种交叉的可能性和意义。我们的研究认为,LLM 不仅可以作为一个解释层,允许对系统模型进行语法简化操作,还可以作为一种知识驱动设计方法的催化剂。我们强调了在 SysML v2 交互中部署 LLM 所获得的效率,它减少了对传统 API 导航和模型管理所需的专业技术知识的依赖。通过案例研究和分析,我们证明了在 LLMs 的推动下,与系统模型的对话式接触可以实现设计过程的民主化和加速。本文强调了 SysML v2 本身以英语为基础和 LLMs 同时成熟的机会,认为这些并行进展的合作利用可能提供一个合适的融合机会,有可能彻底改变系统建模和管理的方式。未来的工作包括对这些方法进行实证验证,并深入研究与现有和未来系统工程生态系统的互操作性。最终目标是确保这种融合不仅能补充人类的专业知识,还能推动系统工程进入创新和整体设计的新时代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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