CVExplorer: Identifying candidate developers by mining and exploring their open source contributions
CVExplorer: Identifying candidate developers by mining and exploring their open source contributions
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CVExplorer：通过挖掘和探索开源贡献来识别候选开发人员
DOI：
10.1145/2970276.2970285
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
B. Fischer
中科院分区：
文献类型：
--
作者：
Gillian J. Greene;B. Fischer
开放源代码贡献包含大量关于开发人员的技术技能信息，这些信息可以帮助确定适合特定开发工作的候选人，从而影响开发团队的成功。我们开发CVExplorer作为从GitHub中提取，可视化和探索相关技术技能数据的工具，例如使用的语言和库。它允许非技术用户根据所有开源贡献中展示的技术技能来筛选和识别开发人员，以便支持更准确的候选人识别。我们通过使用CVExplorer为两家公司的空缺职位推荐候选人来演示CVExplorer的有用性。该工具的视频演示可以在https:// youtube .be/xRxK-wa7PME上获得。
Open source code contributions contain a large amount of technical skill information about developers, which can help to identify suitable candidates for a particular development job and therefore impact the success of a development team. We develop CVExplorer as a tool to extract, visualize, and explore relevant technical skills data from GitHub, such as languages and libraries used. It allows non-technical users to filter and identify developers according to technical skills demonstrated across all of their open source contributions, in order to support more accurate candidate identification. We demonstrate the usefulness of CVExplorer by using it to recommend candidates for open positions in two companies. A video demonstration of the tool is available at https:// youtu.be/xRxK-wa7PME.