专业知识浏览器:一种识别专业知识的定量方法

A. Mockus, J. Herbsleb
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引用次数: 487

摘要

在协作软件工程中,特别是在地理分布的开发中,寻找相关的专业知识是一个关键的需求。我们引入了一个工具,称为专家知识浏览器(ExB),它使用来自变更管理系统的数据来定位具有所需专家知识的人员。它使用经验的量化,并提出证据来验证这种量化作为专业知识的衡量标准。例如,该工具使开发人员能够很容易地区分只在特定代码领域短暂工作过的人与具有更丰富经验的人,并在产品的大部分(如模块甚至子系统)中定位具有广泛专业知识的人。此外,它允许用户发现个人或组织的专业知识配置文件。来自大型软件开发组织中该工具部署的数据表明,较新的远程站点倾向于更频繁地使用该工具进行专家定位。更大、更成熟的站点使用该工具来查找人员或组织的专业知识简介。我们通过描述扩展来总结,这些扩展提供了对正在进行的工作的持续意识和交互式的、定量的简历。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expertise Browser: a quantitative approach to identifying expertise
Finding relevant expertise is a critical need in collaborative software engineering, particularly in geographically distributed developments. We introduce a tool, called Expertise Browser (ExB), that uses data from change management systems to locate people with desired expertise. It uses a quantification of experience, and presents evidence to validate this quantification as a measure of expertise. The tool enables developers, for example, to easily distinguish someone who has worked only briefly in a particular area of the code from someone who has more extensive experience, and to locate people with broad expertise throughout large parts of the product, such as modules or even subsystems. In addition, it allows a user to discover expertise profiles for individuals or organizations. Data from a deployment of the tool in a large software development organization shows that newer, remote sites tend to use the tool for expertise location more frequently. Larger, more established sites used the tool to find expertise profiles for people or organizations. We conclude by describing extensions that provide continuous awareness of ongoing work and an interactive, quantitative resume/spl acute/.
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