DOI: 10.5281/zenodo.3653878
title: Enterprise-Driven Open Source Software

description: We present a dataset of open source software developed mainly by enterprises rather than volunteers. This can be used to address known generalizability concerns, and, also, to perform research on open source business software development. Based on the premise that an enterprise's employees are likely to contribute to a project developed by their organization using the email account provided by it, we mine domain names associated with enterprises from open data sources as well as through white- and blacklisting, and use them through three heuristics to identify 17,252 enterprise GitHub projects. We provide these as a dataset detailing their provenance and properties. A manual evaluation of a dataset sample shows an identification accuracy of 89%. Through an exploratory data analysis we found that projects are staffed by a plurality of enterprise insiders, who appear to be pulling more than their weight, and that in a small percentage of relatively large projects development happens exclusively through enterprise insiders. The main dataset is provided as a 17,252 record tab-separated file named <code>enterprise_projects.txt</code> with the following 27 fields. <strong>url</strong>: the project's GitHub URL <strong>project_id</strong>: the project's GHTorrent identifier <strong>sdtc</strong>: true if selected using the same domain top committers heuristic (9,006 records) <strong>mcpc</strong>: true if selected using the multiple committers from a valid enterprise heuristic (8,289 records) <strong>mcve</strong>: true if selected using the multiple committers from a probable company heuristic (7,990 records), <strong>star_number</strong>: number of GitHub watchers <strong>commit_count</strong>: number of commits <strong>files</strong>: number of files in current main branch <strong>lines</strong>: corresponding number of lines in text files <strong>pull_requests</strong>: number of pull requests <strong>most_recent_commit</strong>: date of the most recent commit <strong>committer_count</strong>: number of different committers <strong>author_count</strong>: number of different authors <strong>dominant_domain</strong>: the projects dominant email domain <strong>dominant_domain_committer_commits</strong>: number of commits made by committers whose email matches the project's dominant domain <strong>dominant_domain_author_commits</strong>: corresponding number for commit authors <strong>dominant_domain_committers</strong>: number of committers whose email matches the project's dominant domain <strong>dominant_domain_authors</strong>: corresponding number of commit authors <strong>cik</strong>: SEC's EDGAR "central index key" <strong>fg500</strong>: true if this is a Fortune Global 500 company (2,232 records) <strong>sec10k</strong>: true if the company files SEC 10-K forms (4,178 records) <strong>sec20f</strong>: true if the company files SEC 20-F forms (429 records) <strong>project_name</strong>: GitHub project name <strong>owner_login</strong>: GitHub project's owner login <strong>company_name</strong>: company name as derived from the SEC and Fortune 500 data <strong>owner_company</strong>: GitHub project's owner company name <strong>license</strong>: SPDX license identifier The file <code>cohost_project_details.txt</code> provides the full set of 309,531 cohort projects that are not part of the enterprise data set, but have comparable quality attributes. <strong>url</strong>: the project's GitHub URL <strong>project_id</strong>: the project's GHTorrent identifier <strong>stars</strong>: number of GitHub watchers <strong>commit_count</strong>: number of commits