Agentic Model Transformation: Service-Mediated Orchestration for Transformation Development

Abstract

Model transformation is a core mechanism in Model-Driven Engineering (MDE), but its use requires expertise in metamodels, transformation languages, execution engines, runtime configuration, and diagnostics. Although LLMs can generate and revise transformation artifacts, direct prompt-to-output generation does not by itself provide an executable MDE workflow grounded in metamodel conformance and transformation rules execution. This paper proposes agentic model transformation: a service-mediated workflow in which an LLM agent generates candidate transformation specifications and coordinates MDE services for metamodel access, example retrieval, checking, execution, diagnostics, and repair. Model Context Protocol is used to expose these services to the agent. When execution succeeds, target artifacts are produced through the configured transformation infrastructure, serialized by the target modeling environment, and loadable against the registered target metamodel. Early results from adopting the proposed framework for the UML-to-Java and SysMLv2-to-AAS cases show that constructing and repairing executable transformations is possible. The results also show that executable success and metamodel conformance are only first checks; structural completeness, mapping coverage, and semantic adequacy require additional MDE services. The framework, therefore, shifts LLM support for model transformation from one-off artifact generation towards service-supported transformation development, where specifications, diagnostics, and execution traces can be inspected, reused, and extended.