Marco Ortu
Giuseppe Destefanis
Daniel Graziotin
Michele Marchesi
Marco Tonelli
2020-05-13
<p>This package contains the raw open data for the study </p>
<p>Marco Ortu, Giuseppe Destefanis, Daniel Graziotin, Michele Marchesi, Roberto Tonelli. 2020. How do you propose your code changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub. Under Review.</p>
<p>The dataset is based on GHTorrent dataset:</p>
<p>Georgios Gousios. 2013. The GHTorent dataset and tool suite. In Proceedings of the 10th Working Conference on Mining Software Repositories (MSR ’13). IEEE Press, 233–236</p>
<p>And released with the same license (CC BY-SA 4.0).</p>
https://doi.org/10.5281/zenodo.3825044
oai:zenodo.org:3825044
eng
Zenodo
https://doi.org/10.5281/zenodo.3825043
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
sentiment analysis
software engineering
behavioral software engineering
politeness
software quality
version control system
github
pull request
Dataset - How do you propose your code changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub
info:eu-repo/semantics/other