A study of FOSS 2013 survey data using clustering techniques

A. Mani, Rebeka Mukherjee
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引用次数: 8

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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基于聚类技术的2013年自由/开源软件调查数据研究
FOSS是Free and Open Source Software的缩写。自由/开源软件2013调查主要针对自由/开源软件贡献者,相关的匿名数据集在SA许可的CC下公开可用。在本研究中,数据集使用统计和聚类技术(特别是多重对应分析)从批判的角度进行分析,重点关注女性贡献者,以发现隐藏的趋势和事实。重要的推论是关于开发实践和自由软件和OSS世界的其他方面。
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