Constructing Temporal Networks of OSS Programming Language Ecosystems
April 21, 2023 Β· Declared Dead Β· π IEEE International Conference on Software Analysis, Evolution, and Reengineering
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Authors
Alexander Agroskin, Elena Lyulina, Sergey Titov, Vladimir Kovalenko
arXiv ID
2304.10983
Category
cs.SE: Software Engineering
Cross-listed
cs.SI
Citations
0
Venue
IEEE International Conference on Software Analysis, Evolution, and Reengineering
Last Checked
5 months ago
Abstract
One of the primary factors that encourage developers to contribute to open source software (OSS) projects is the collaborative nature of OSS development. However, the collaborative structure of these communities largely remains unclear, partly due to the enormous scale of data to be gathered, processed, and analyzed. In this work, we utilize the World Of Code dataset, which contains commit activity data for millions of OSS projects, to build collaboration networks for ten popular programming language ecosystems, containing in total over 290M commits across over 18M projects. We build a collaboration graph representation for each language ecosystem, having authors and projects as nodes, which enables various forms of social network analysis on the scale of language ecosystems. Moreover, we capture the information on the ecosystems' evolution by slicing each network into 30 historical snapshots. Additionally, we calculate multiple collaboration metrics that characterize the ecosystems' states. We make the resulting dataset publicly available, including the constructed graphs and the pipeline enabling the analysis of more ecosystems.
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