Title
StakeNet: using social networks to analyse the stakeholders of large-scale software projects
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.
Year
DOI
Venue
2010
10.1145/1806799.1806844
ICSE (1)
Keywords
Field
DocType
stakeholder requirement,software management,software project,stakenet,large-scale software projects,prioritise stakeholders,000-user system,stakeholder role,social network,social networks,requirements stakeholders,recommender systems,social network measure,stakeholder analysis,large-scale software project,internet,impacted project success,social networking (online),critical stakeholder role,software projects,recommender system,security,data collection,empirical study,interviews
Recommender system,Social network,Stakeholder,Computer science,Stakeholder analysis,Knowledge management,Interview,Corporate communication,Empirical research,The Internet
Conference
Volume
ISSN
ISBN
1
0270-5257
978-1-60558-719-6
Citations 
PageRank 
References 
47
1.80
13
Authors
3
Name
Order
Citations
PageRank
Soo Ling Lim130115.60
Daniele Quercia21618103.55
Anthony Finkelstein3471.80