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Hawaii International Conference on System Sciences, January 3-6, 2023 in Maui, Hawaii.


Permalink home to HICSS-56 conference presentation and dataset.

Abstract

The ubiquity of GitHub for software developers to coordinate software development in a community platform has resulted in a rich source of public data. Blockchain teams put open-source code as a founding principle since the release of Bitcoin and nearly all blockchain-based projects have code visible on GitHub. Developer engagement is known to be important to the health and viability of open-source software, yet has varying definitions and no standard method of measuring what constitutes engagement. This work uses exploratory factor analysis to identify dimensions that represent engagement in a community of open-source developers. We find that a latent factor composed of pull-requests, commits, comments, and authors based on a monthly average of the previous three months is a representation of Developer Engagement. A secondary factor consists of stars, forks, and total authors. Cross validation of the dataset is carried out with good support for the model.

Keywords

Blockchain Cases and Innovations, blockchain, developer engagement, factor analysis, github, open-source software

Authors

Jeff Nijsse & Alan Litchfield

Dataset

full data (csv)

Preview

ID stars_tot forks_tot auth_tot authors_ma3 commits_ma3 comments_ma3 PR_open_ma3 days_inactive
1 72112 59013 6242 150.33 360 2440.67 170.67 0.006
2 4904 10079 728 13.33 39 23 3 0.696
52 4799 3023 594 35.67 18.67 138 19.33 0.287
74 15491 4684 1663 28.33 14 91.67 9.33 0.031

Column Detail

Column name Description
ID A unique identifier for each repository
stars_tot The total number of stars the repository has received
forks_tot The total number of forks the repository has received
auth_tot The total number of authors who have contributed to the repository
authors_ma3 The average number of monthly authors who have contributed to the repository in the past three months
commits_ma3 The average number of monthly commits made to the repository in the past three months
comments_ma3 The average number of monthly comments in the repository in the past three months
PR_open_ma3 The average number of monthly pull requests that were opened in the repository in the past three months
days_inactive The number of days since the repository was active

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Not a bad spot for a conference 🤠

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