Dataset Open Access

A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance

Tapajit Dey; Audris Mockus


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    <subfield code="a">&lt;p&gt;A Curated Dataset of 470,925 pull requests for 3349 popular NPM packages, description of the variables, code snippet for creating a Random Forest model for predicting pull request acceptance, and a pre-trained&amp;nbsp;&amp;nbsp;Random Forest model (in R). The dataset is for the ESEM-2020 paper: &amp;quot;Impact of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem&amp;quot; (&lt;a href="https://arxiv.org/abs/2007.04816"&gt;https://arxiv.org/abs/2007.04816&lt;/a&gt;).&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Citation:&lt;/p&gt;

&lt;pre&gt;@inproceedings{dey2020effect,
  title={Effect of technical and social factors on pull request quality for the npm ecosystem},
  author={Dey, Tapajit and Mockus, Audris},
  booktitle={Proceedings of the 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},
  pages={1--11},
  year={2020}
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