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Repository for the JCDL 2022 paper "Open-source Code Repository Attributes Predict Impact of Computer Science Research"

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Open-source Code Repository Attributes Predict Impact of Computer Science Research

This repository contains the code and data used in the paper "Open-source Code Repository Attributes Predict Impact of Computer Science Research", published in JCDL 2022. The work may be cited as follows:

@inproceedings{bhattarai2022open,
  title={Open-source code repository attributes predict impact of computer science research},
  author={Bhattarai, Prajjwal and Ghassemi, Mohammed and Alhanai, Tuka},
  booktitle={Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries},
  pages={1--7},
  year={2022}
}

Repository Structure

├── Data Collection Scripts used to collect and scrape citation, paper, and repository data. Interfaces to unprocessed datasets.

├── Analysis Code and processed data contating the analysis presented in the paper.

Dependencies

This project has been coded entirely in Python 3, with extensive use of external libraries. Use the following to ensure the requirements are met.

git clone git@github.com:x-labs-xyz/jcdl-open-source-science.git
cd jcdl-open-source-science
pip install -r requirements.txt

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Repository for the JCDL 2022 paper "Open-source Code Repository Attributes Predict Impact of Computer Science Research"

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