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This PhD contributes an agentic LLM-based framework for diagnosing and repairing Modelica models, together with the empirical foundations that make it feasible and reproducible.
ModBench is a pipeline that mines Git repositories of Modelica libraries to produce benchmark datasets of model snapshots, spanning the full commit history (since Modelica language v3), with 85562 distinct class snapshots, and links enabling traceability to original models and Git metadata.
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