Replication Package: On the Generalization Capabilities of LLMs for Reverse Engineering Sequence Diagrams
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902333441441792 |
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| author | Greiner, Sandra Abdullah, Judi Kehrer, Timo |
| author_facet | Greiner, Sandra Abdullah, Judi Kehrer, Timo |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16738173 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Replication Package: On the Generalization Capabilities of LLMs for Reverse Engineering Sequence Diagrams Greiner, Sandra Abdullah, Judi Kehrer, Timo <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> |
| title | Replication Package: On the Generalization Capabilities of LLMs for Reverse Engineering Sequence Diagrams |
| url | https://doi.org/10.5281/zenodo.16738173 |