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StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis

Published: 01 May 2010 Publication History

Abstract

Projects often fail because they overlook stakeholders. Unfortunately, existing stakeholder analysis tools only capture stakeholders' information, relying on experts to manually identify them. StakeSource is a web-based tool that automates stakeholder analysis. It "crowdsources" the stakeholders themselves for recommendations about other stakeholders and aggregates their answers using social network analysis.

References

[1]
I. Alexander and S. Robertson. Understanding project sociology by modeling stakeholders. IEEE Software, 21(1):23--27, 2004.
[2]
D. C. Gause and G. M. Weinberg. Exploring Requirements: Quality Before Design. Dorset House Publishing, 1989.
[3]
M. Glinz and R. J. Wieringa. Stakeholders in requirements engineering. IEEE Software, 24(2):18--20, 2007.
[4]
S. L. Lim, D. Quercia, and A. Finkelstein. StakeNet: Using social networks to analyse the stakeholders of large-scale software projects. In Procs. of the 32nd Int. Conf. on Soft. Eng. (to appear), 2010.
[5]
J. Scott. Social Network Analysis: A Handbook. Sage, 2000.
[6]
Standish Group. The CHAOS Report, 1994.
[7]
J. Surowiecki. The Wisdom of Crowds. Anchor, 2005.

Cited By

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  • (2024)A Social-Network-Based Crowd Selection Approach for Crowdsourcing Mobile Apps Requirements Engineering TasksApplied Sciences10.3390/app14231123014:23(11230)Online publication date: 2-Dec-2024
  • (2023)Identifying Users and Developers of Mobile Apps in Social Network CrowdElectronics10.3390/electronics1216342212:16(3422)Online publication date: 12-Aug-2023
  • (2023)Research Approaches for Building Analytics in Social Network towards Crowdsourcing2023 IEEE 8th International Conference for Convergence in Technology (I2CT)10.1109/I2CT57861.2023.10126479(1-7)Online publication date: 7-Apr-2023
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  1. StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis

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    cover image ACM Conferences
    ICSE '10: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
    May 2010
    554 pages
    ISBN:9781605587196
    DOI:10.1145/1810295
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 May 2010

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    Author Tags

    1. recommender systems
    2. social network analysis
    3. social networks
    4. stakeholder analysis

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    Cited By

    View all
    • (2024)A Social-Network-Based Crowd Selection Approach for Crowdsourcing Mobile Apps Requirements Engineering TasksApplied Sciences10.3390/app14231123014:23(11230)Online publication date: 2-Dec-2024
    • (2023)Identifying Users and Developers of Mobile Apps in Social Network CrowdElectronics10.3390/electronics1216342212:16(3422)Online publication date: 12-Aug-2023
    • (2023)Research Approaches for Building Analytics in Social Network towards Crowdsourcing2023 IEEE 8th International Conference for Convergence in Technology (I2CT)10.1109/I2CT57861.2023.10126479(1-7)Online publication date: 7-Apr-2023
    • (2022)A Proposed Approach to Crowd Selection in Crowdsourced Requirements Engineering for Mobile AppsProceedings of the 7th International Conference on Information Systems Engineering10.1145/3573926.3573927(1-5)Online publication date: 4-Nov-2022
    • (2021)Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial PredictionsEntropy10.3390/e2307080123:7(801)Online publication date: 24-Jun-2021
    • (2021)Network structure and requirements crowdsourcing for OSS projectsRequirements Engineering10.1007/s00766-021-00353-5Online publication date: 17-May-2021
    • (2020)Context-Aware Reliable Crowdsourcing in Social NetworksIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2017.277744750:2(617-632)Online publication date: Feb-2020
    • (2020)Competence, interest and power in participatory transport planning: framing stakeholders in the “participation cube”Transportation Research Procedia10.1016/j.trpro.2020.08.28148(2385-2400)Online publication date: 2020
    • (2019)Mi Casa es su Casa? Examining Airbnb Hospitality Exchange Practices in a Developing EconomyACM Transactions on Social Computing10.1145/32998172:1(1-24)Online publication date: 6-Feb-2019
    • (2019)Online Idea Management for Civic EngagementACM Transactions on Social Computing10.1145/32849822:1(1-29)Online publication date: 23-Jan-2019
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