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| Hoofdauteur: | |
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| Formaat: | Recurso digital |
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| Gepubliceerd in: |
Zenodo
2026
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| Online toegang: | https://doi.org/10.5281/zenodo.19488616 |
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- <div> <div>This repository contains the supplementary material for the paper <em>When AI Joins the Team: Understanding Human-Agent Collaboration in Pull Requests</em>. It includes all scripts, datasets, and resources necessary to execute the complete data preparation workflow and reproduce the analysis detailed in the manuscript.</div> <blockquote> <div>ℹ️ To protect sensitive information, all email addresses in the data preparation files (both final and intermediate) have been replaced with automatically generated ones based on the user's login or name. Additionally, for processes involving emails (i.e., <em>operations/users/disambiguation.ipynb</em>, <em>operations/users/consensus.ipynb</em>), the outputs have been removed, and email fields have been marked to indicate that manual completion is required.</div> </blockquote> </div> <div> <h3>Contents</h3> <ul> <li><strong>analysis/</strong>: Contains the code and resources required for analysing and visualising the experimental results. For further details, please refer to the README file located within this directory.</li> <li><strong>data/</strong>: Contains the datasets used in this study. For further details, please refer to the README file located within this directory.</li> <li><strong>operations/</strong>: Contains the scripts responsible for data collection and preparation. For further details, please refer to the README file located within this directory.</li> </ul> </div> <div> <div>Additionally, the <strong>requirements.txt</strong> file, located in the root directory, lists the Python dependencies required for executing the full workflow and reproducing the analysis.</div> </div>