Lim, S.L.; Quercia, D.; Finkelstein, A.; (2010) StakeNet: using social networks to analyse the stakeholders of large-scale software projects. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering: ICSE’10 Volume 1. (pp. pp. 295-304). Association for Computing Machinery: New York, US.

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Abstract

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.

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