DocumentCode
2074786
Title
StakeNet: using social networks to analyse the stakeholders of large-scale software projects
Author
Lim, Soo Ling ; Quercia, Daniele ; Finkelstein, Anthony
Author_Institution
Dept. of Comput. Sci., Univ. Coll. London, London, UK
Volume
1
fYear
2010
fDate
2-8 May 2010
Firstpage
295
Lastpage
304
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.
Keywords
Internet; social networking (online); software management; StakeNet; large-scale software projects; social networks; software projects; stakeholder analysis; stakeholder requirement; Educational institutions; Interviews; Libraries; Security; Social network services; Software; Weight measurement; recommender systems; social networks; stakeholder analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, 2010 ACM/IEEE 32nd International Conference on
Conference_Location
Cape Town
ISSN
0270-5257
Print_ISBN
978-1-60558-719-6
Type
conf
DOI
10.1145/1806799.1806844
Filename
6062097
Link To Document