StakeNet using social networks to analyse the stakeholders of large-scale software projects

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 stakeho...

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Vydáno v:2010 ACM/IEEE 32nd International Conference on Software Engineering Ročník 1; s. 295 - 304
Hlavní autoři: Lim, Soo Ling, Quercia, Daniele, Finkelstein, Anthony
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 01.05.2010
IEEE
Edice:ACM Conferences
Témata:
Educational institutions
General and reference > Cross-computing tools and techniques > Metrics
Interviews
Libraries
recommender systems
Security
Social network services
social networks
Software
stakeholder analysis
Weight measurement
recommender systems
social networks
stakeholder analysis
ISBN:9781605587196, 1605587192
ISSN:0270-5257
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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.
AbstractList 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.
Author Lim, Soo Ling
Quercia, Daniele
Finkelstein, Anthony
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Keywords recommender systems
social networks
stakeholder analysis
Language English
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Snippet Many software projects fail because they overlook stakeholders or involve the wrong representatives of significant groups. Unfortunately, existing methods in...
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StartPage 295
SubjectTerms Educational institutions
General and reference -- Cross-computing tools and techniques -- Metrics
Interviews
Libraries
recommender systems
Security
Social network services
social networks
Software
stakeholder analysis
Weight measurement
Subtitle using social networks to analyse the stakeholders of large-scale software projects
Title StakeNet
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