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English(EN) LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain

LLM简化汽车工具互操作性,新研究论文发布

一篇新研究论文提出了一种由LLM驱动的方法,以改善汽车领域内不同建模工具之间的互操作性。该方法侧重于将模型实例自动映射到目标元模型并合并现有元模型。该方法通过Ecore和SysML v2进行了演示,旨在减少手动工作量并确保生成模型的结构有效性,以实现跨工具兼容性。 AI

影响 通过自动化模型转换,可能显著减少汽车软件开发中的手动工作量。

排序理由 该集群包含一篇详细介绍LLM驱动工具互操作性新方法的 ist 研究论文。

在 arXiv cs.AI 阅读 →

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LLM简化汽车工具互操作性,新研究论文发布

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Nenad Petrovic, Jiajie Zhang, Vahid Zolfaghari, Alois Knoll ·

    LLM驱动的汽车领域工具互操作性建模方法

    arXiv:2607.14659v1 Announce Type: cross Abstract: Interoperability between heterogeneous modeling tools remains a significant challenge in Model-Driven Engineering (MDE), particularly in the automotive domain where multiple modeling languages, as well as defacto standard propriet…

  2. arXiv cs.AI TIER_1 English(EN) · Alois Knoll ·

    LLM驱动的汽车领域工具互操作性建模方法

    Interoperability between heterogeneous modeling tools remains a significant challenge in Model-Driven Engineering (MDE), particularly in the automotive domain where multiple modeling languages, as well as defacto standard proprietary and open-source tools coexist. This paper pres…