具有使用经验的专家建议

David Ma, David Schuler, Thomas Zimmermann, Jonathan Sillito
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引用次数: 61

摘要

全球和分布式软件开发增加了寻找和连接具有相关专业知识的开发人员的需求。现有的推荐系统通常基于文件更改(实现专业知识)对专业知识进行建模。虽然这些方法已经取得了成功,但它们需要项目开发的大量历史记录。以前,我们已经提出了使用专家的概念,即通过调用(使用)方法的行为表现出来的专家。在本文中,我们通过评估专家对ASPECTJ和ECLIPSE项目的建议来评估这个概念的可行性。我们发现使用经验和实现经验都具有相当的准确性,这表明使用经验可以用作替代度量。我们还发现两个项目中方法调用的显著重叠,这表明可以利用使用专家来推荐来自不同项目的专家,因此对于很少或没有历史的项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expert recommendation with usage expertise
Global and distributed software development increases the need to find and connect developers with relevant expertise. Existing recommendation systems typically model expertise based on file changes (implementation expertise). While these approaches have shown success, they require a substantial recorded history of development for a project. Previously, we have proposed the concept of usage expertise, i.e., expertise manifested through the act of calling (using) a method. In this paper, we assess the viability of this concept by evaluating expert recommendations for the ASPECTJ and ECLIPSE projects. We find that both usage and implementation expertise have comparable levels of accuracy, which suggests that usage expertise may be used as a substitute measure. We also find a notable overlap of method calls across both projects, which suggests that usage expertise can be leveraged to recommend experts from different projects and thus for projects with little or no history.
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