An Open Dataset for Onboarding new Contributors–Empirical Study of OpenStack Ecosystem

摘要

This dataset provides the qualitative and quantitative data of our mixed-method empirical study of onboarding in the OpenStack software ecosystem (SECO). First, we carried out a SECO-level participant observation study of 72 new contributors during a 2-day OpenStack onboarding (in-person) event yielding a rich set of qualitative data; 14 files amount to 60% of the entire dataset originating from a participant observation study. Second, we quantitatively validated the extent to which SECOs achieve benefits such as diversity, productivity, and quality by mining 1281 contributors’ code changes, reviews, and issues with(out) OpenStack onboarding experience. Our quantitative dataset includes nine files, which is about 40% of the entire dataset, and we obtained these files by mining new contributors’ codebase activities from four OpenStack repositories. Besides, we make available the scripts that e used to extract and analyze this dataset. By providing this data, we are claiming the "Available Badge," and our data are online on a public archived repository at Zenodo: DOI: 10.5281/zenodo.4457683