Dataset Open Access

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

Tapajit Dey; Audris Mockus


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3858046", 
  "title": "A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance", 
  "issued": {
    "date-parts": [
      [
        2020, 
        5, 
        26
      ]
    ]
  }, 
  "abstract": "<p>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&nbsp;&nbsp;Random Forest model (in R). The dataset is for the ESEM-2020 paper: &quot;Impact of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem&quot; (<a href=\"https://arxiv.org/abs/2007.04816\">https://arxiv.org/abs/2007.04816</a>)</p>", 
  "author": [
    {
      "family": "Tapajit Dey"
    }, 
    {
      "family": "Audris Mockus"
    }
  ], 
  "type": "dataset", 
  "id": "3858046"
}
57
54
views
downloads
All versions This version
Views 5754
Downloads 5453
Data volume 2.3 GB2.3 GB
Unique views 4343
Unique downloads 3131

Share

Cite as