SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2
This addresses the problem of model creation for engineers in complex systems engineering, but it appears incremental as it builds on existing template-based approaches.
The paper tackles the challenge of automatically generating SysML v2 models from natural language specifications by introducing SysTemp, a multi-agent system with a template generator, and reports that it improves generation quality.
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.