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arxiv:2506.21608

SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2

Published on Jun 20
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Abstract

SysTemp, a multi-agent system with a template generator, aims to improve the creation of SysML v2 models from natural language specifications, addressing challenges due to limited learning corpora and complex syntax.

AI-generated summary

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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