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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.