LLM prompting achieves 100% grammar adaptation consistency on small test DSLs and reuses adaptations across QVTo evolution steps, outperforming rule-based methods, but drops below 90% on large grammars like EAST-ADL.
(2020).Dot xtext gram- mar.Retrieved from https://github.com/eclipse/gef/blob/ master/org.eclipse.gef.dot/src/org/eclipse/gef/dot/internal/ language/Dot.xtext (Accessed February,
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Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution
LLM prompting achieves 100% grammar adaptation consistency on small test DSLs and reuses adaptations across QVTo evolution steps, outperforming rule-based methods, but drops below 90% on large grammars like EAST-ADL.