Dataset Open Access
A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance
Tapajit Dey;
Audris Mockus
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 Random Forest model (in R). The dataset is for the ESEM-2020 paper: "Impact of Technical and Social Factors on Pull Request Quality for the NPM Ecosystem" (https://arxiv.org/abs/2007.04816).
Citation:
@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}
}
Files
(294.3 MB)
| Name | Size | |
|---|---|---|
|
Curated_Pull_Request_Data.csv
md5:9ba00c622679e3ae6d2ff12bde44e3e7 |
35.8 MB | Download |
|
description.pdf
md5:4c5c559bb644f3e2c991d71dc19932b5 |
40.4 kB | Download |
|
PRMODEL.Rdata
md5:ba1eb93c488e1090ab051901aeb370f2 |
258.4 MB | Download |
|
snippet.R
md5:5cf376f3114ce94edf9e16fddaa50185 |
841 Bytes | Download |
329
227
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 329 | 312 |
| Downloads | 227 | 223 |
| Data volume | 9.3 GB | 9.3 GB |
| Unique views | 306 | 293 |
| Unique downloads | 142 | 140 |
Indexed in
- Publication date:
- May 26, 2020
- DOI:
-
- Keyword(s):
- Pull Request Random Forest
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International