用多智能体系统自动生成复杂系统建模的SysML v2模型
SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2
- 基于多智能体架构，通过模板生成器结构化自然语言到模型的转换过程
- 评估显示该系统能有效提升复杂系统建模的生成质量
- 适合系统工程、自动化建模领域的研究人员和工程师使用
复杂系统工程中的SysML v2模型自动生成面临重大挑战，尤其由于学习语料稀缺和语法复杂。我们提出SysTemp系统，旨在从自然语言规范中辅助并改进SysML v2模型的创建。该系统基于多智能体架构，包含一个模板生成器以结构化生成流程。通过评估讨论了该系统的优劣与挑战，强调其在提升SysML v2建模生成质量方面的潜力。
原文摘要 · Abstract (English)
The automatic generation of SysML v2 models represents a major challenge in the engineering of complex systems, particularly due to the scarcity of learning corpora and complex syntax. We present SysTemp, a system aimed at facilitating and improving the creation of SysML v2 models from natural language specifications. It is based on a multi-agent system, including a template generator that structures the generation process. We discuss the advantages and challenges of this system through an evaluation, highlighting its potential to improve the quality of the generations in SysML v2 modeling.
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