A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models

• URL: http://arxiv.org/abs/2512.05498v1
• Date: Fri, 05 Dec 2025 07:46:51 GMT
• Title: A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
• Authors: Xiao He, Ru Chen, Zeqing Zhang, Yanling Wang, Qiuyan Dong,
• Abstract summary: iEcoreGen is a hybrid approach that integrates Eclipse Modeling Framework (EMF) and LLMs.<n>iEcoreGen decomposes requirements to derive operation specifications, uses EMF's template-based generator to produce initial Java code, and serializes specifications into docstrings.
• Score: 7.176489635263981
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Template-based and LLM-based code generation are both key enablers of automated software development. The former provides correctness guarantees but are rigid for complex requirements, whereas LLMs offer high flexibility at the risk of producing faulty code.This paper proposes iEcoreGen, a hybrid approach that integrates Eclipse Modeling Framework (EMF) and LLMs. In EMF, an Ecore model defines a system structure and acts as a blueprint for code-generation.iEcoreGen decomposes requirements to derive operation specifications, uses EMF's template-based generator to produce initial Java code, and serializes specifications into docstrings. LLMs are then invoked to complete and fix unimplemented methods. We assessed iEcoreGen on twenty code-generation tasks across five LLMs. It surpasses LLM-only baselines on pass@k and performs on par with them on compilation@k. An ablation study clarified the contribution of each component of iEcoreGen. Overall, the findings indicate that LLM-enhanced model-driven development is a promising path toward more efficient software automation.

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