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About this paper
Steven Smyth, Daniel Busch, Moez Ben Haj Hmida, Edward A. Lee, Bernhard Steffen
An AI-assisted modeling framework for domain-specific languages (DSLs) combines natural language interaction, instantaneous graphical visualization, and iterative refinement to facilitate model creation. This system demonstrates improved control and semantic accuracy when generating complex Lingua Franca models, addressing limitations of general AI tools.
Key insights
- Integrating domain-specific tooling and APIs with LLMs is effective in overcoming challenges related to complex syntax and polyglot nature of specialized DSLs.
- A transparent, multi-stage workflow with explicit observation and interaction points significantly enhances developer control and allows for iterative refinement of AI-generated models.
- Instantaneous graphical visualization of DSL models is crucial for intuitive understanding, visual inspection, and early error detection in AI-assisted modeling processes.
Summary by alphaXiv.
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