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The Cartographer
A Study of FOSS'2013 Survey Data Using Clustering Techniques
January 28, 2017 Β· Declared Dead Β· π IEEE International WIE Conference on Electrical and Computer Engineering
"No code URL or promise found in abstract"
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Authors
Mani A, Rebeka Mukherjee
arXiv ID
1701.08302
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.SE,
stat.ML
Citations
9
Venue
IEEE International WIE Conference on Electrical and Computer Engineering
Last Checked
4 months ago
Abstract
FOSS is an acronym for Free and Open Source Software. The FOSS 2013 survey primarily targets FOSS contributors and relevant anonymized dataset is publicly available under CC by SA license. In this study, the dataset is analyzed from a critical perspective using statistical and clustering techniques (especially multiple correspondence analysis) with a strong focus on women contributors towards discovering hidden trends and facts. Important inferences are drawn about development practices and other facets of the free software and OSS worlds.
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