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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17150502 |
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Table of Contents:
- <p>This record contains the datasets used in the study <em>"Predicting Bug-Fix Times with Local LLMs: A Robust Prompting-Based Workflow"</em> submitted to <em>Journal of Systems and Software</em>.</p> <p>The datasets include bug reports extracted from <strong>Bugzilla</strong> instances of Eclipse, Gentoo, KDE, Novell, and W3C.<br>Files are provided in JSON format (<code>*_original.json</code>).</p> <p>These datasets enable replication of the experiments presented in the study and may serve as a resource for further research on bug report classification and software maintenance analytics.</p> <p><strong>Note:</strong> The raw data originate from publicly accessible Bugzilla archives of the respective projects. Redistribution is provided here for research purposes only, in compliance with the terms of use of the original sources.</p>