• 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