Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution

ArXi:2605.21465v1 Announce Type: new In model-driven engineering, metamodel evolution leads to the need to adapt corresponding grammars to maintain consistency, which typically requires tedious manual work. Existing rule-based methods can achieve partial automation but have limitations when handling complex grammar scenarios. This paper proposes a Large Language Model-based approach that automatically applies adaptations to new grammars after evolution by learning grammar adaptations from previous versions.