Supporting the recruitment of software development experts: aligning technical knowledge to an industry domain

Vitor Polezi Pesce de Campos, José Maria N. David, Victor Ströele, R. Braga
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Abstract

Finding experts that meet specific technical skills, combined with expertise in an industry domain, is essential in software development environments. However, this may be a complex task once different information about software developers is scattered among diverse databases. This work aims to detect experts and assemble a list of recommended experts regarding technologies and industry domains of interest. Data from LinkedIn, GitHub, and Topcoder platforms were used to achieve this goal. Our approach matches data using semantic and syntactic techniques and infers non-obvious information through an ontology. The information regarding the recommended software developers has the potential to support decision-makers and recruiters.
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支持软件开发专家的招聘:将技术知识与行业领域结合起来
在软件开发环境中,寻找满足特定技术技能的专家,结合行业领域的专业知识,是必不可少的。然而,一旦关于软件开发人员的不同信息分散在不同的数据库中,这可能是一项复杂的任务。这项工作的目的是检测专家,并收集关于感兴趣的技术和行业领域的推荐专家列表。来自LinkedIn、GitHub和Topcoder平台的数据被用来实现这一目标。我们的方法使用语义和句法技术匹配数据,并通过本体推断非明显信息。有关推荐的软件开发人员的信息有可能为决策者和招聘人员提供支持。
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