StakeNet: using social networks to analyse the stakeholders of large-scale software projects
StakeNet: using social networks to analyse the stakeholders of large-scale software projects
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DOI：
10.1145/1806799.1806844
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发表时间：
2010-05
期刊：
影响因子：
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通讯作者：
Soo Ling Lim;D. Quercia;A. Finkelstein
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文献类型：
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作者：
Soo Ling Lim;D. Quercia;A. Finkelstein
许多软件项目的失败是因为他们忽视了涉众，或者涉及了重要群体的错误代表。不幸的是，现有的利益相关者分析方法可能会忽略利益相关者，并认为所有利益相关者都具有同等的影响力。为识别持份者并按优先次序排列，我们开发了StakeNet，其包括三个主要步骤：识别持份者并要求他们推荐其他持份者及持份者角色;建立一个以持份者为节点、以链接为建议的社交网络;以及使用各种社交网络措施按优先次序排列持份者。为了评估StakeNet，我们对一个30，000用户系统的软件项目的需求利益相关者进行了第一次实证研究。使用从调查和采访68个利益相关者收集的数据，我们表明，StakeNet识别利益相关者和他们的角色具有较高的召回率，并准确地优先考虑他们。StakeNet揭示了项目中被忽视的关键利益相关者角色，其遗漏严重影响了项目的成功。
Many software projects fail because they overlook stakeholders or involve the wrong representatives of significant groups. Unfortunately, existing methods in stakeholder analysis are likely to omit stakeholders, and consider all stakeholders as equally influential. To identify and prioritise stakeholders, we have developed StakeNet, which consists of three main steps: identify stakeholders and ask them to recommend other stakeholders and stakeholder roles, build a social network whose nodes are stakeholders and links are recommendations, and prioritise stakeholders using a variety of social network measures. To evaluate StakeNet, we conducted one of the first empirical studies of requirements stakeholders on a software project for a 30,000-user system. Using the data collected from surveying and interviewing 68 stakeholders, we show that StakeNet identifies stakeholders and their roles with high recall, and accurately prioritises them. StakeNet uncovers a critical stakeholder role overlooked in the project, whose omission significantly impacted project success.