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Dataset of the Paper "Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot"

Research datakeyboard_double_arrow_right Dataset 07 Jul 2023Publisher:Zenodo

Authors: Beiqi Zhang; Liang, Peng; Xiyu Zhou; Aakash Ahmad; Waseem, Muhammad;

doi: 10.5281/zenodo.8123303 , 10.5281/zenodo.8123302

Dataset of the Paper "Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot"

- Summary
- Metrics

Abstract

This dataset collected from Stack Overflow (SO) and GitHub was used to conduct an empirical study on investigating the practices, challenges, and expected features of using GitHub Copilot. We provide below a brief description of each file in the dataset: 1. Dataset (SO).xlsx contains the IDs and URLs of the labelled posts which are related to Copilot from SO, and the data extracted from these related SO posts. 2. Dataset (GitHub).xlsx contains the discussion IDs and URLs in the Copilot category of GitHub Discussions, and the data extracted from the relevant discussions. 3. Extracted Data (SO+GitHub).xlsx provides the final results of the data extracted from SO posts and GitHub discussions.

Related Organizations

Lancaster University
United Kingdom
Wuhan University
China (People's Republic of)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

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UArctic