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| Main Authors: | , , |
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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.16738173 |
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Table of Contents:
- <div> <p>This archive contains the <strong>replication package</strong> for our paper <strong>On the Generalization Capabilities of LLMs for Reverse Engineering Sequence Diagrams </strong>accepted<strong> </strong>at <strong>7th Workshop on Artificial Intelligence and Model-driven Engineering</strong> (MDE Intelligence). The paper will be published with IEEE.<br>This dataset comprises</p> <ol> <li>the zipped source code of the <a href="https://github.com/judiAbdullah/RE-LLMs/releases/tag/aritfact">Github Release</a> including all software to conduct the experiment</li> <li>the Python sequence diagrams generated by our finetuned model: <em>seq_dataset_filtered_eval.zip</em></li> </ol> <p>The curated training and evaluation dataset as well as the finetuned model are separately published on <a href="https://zenodo.org/records/16755656" target="_blank" rel="noopener">Zenodo</a> (cf, supplementary data) as also described in the README of the source code repository.</p> </div>