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The Crowd in Requirements Engineering: The Landscape and Challenges

Published: 01 March 2017 Publication History
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  • Abstract

    Crowd-based requirements engineering (CrowdRE) could significantly change RE. Performing RE activities such as elicitation with the crowd of stakeholders turns RE into a participatory effort, leads to more accurate requirements, and ultimately boosts software quality. Although any stakeholder in the crowd can contribute, CrowdRE emphasizes one stakeholder group whose role is often trivialized: users. CrowdRE empowers the management of requirements, such as their prioritization and segmentation, in a dynamic, evolved style through collecting and harnessing a continuous flow of user feedback and monitoring data on the usage context. To analyze the large amount of data obtained from the crowd, automated approaches are key. This article presents current research topics in CrowdRE; discusses the benefits, challenges, and lessons learned from projects and experiments; and assesses how to apply the methods and tools in industrial contexts. This article is part of a special issue on Crowdsourcing for Software Engineering.

    References

    [1]
    S.-L. Lim and A. Finkelstein, “ StakeRare: Using Social Networks and Collaborative Filtering for Large-Scale Requirements Elicitation,” IEEE Trans. Software Eng., vol. Volume 38, no. Issue 3, 2012, pp. 707–735.
    [2]
    R. Ali, “ Social Adaptation: When Software Gives Users a Voice,” in Proc. 7th Int'l Conf. Evaluation of Novel Approaches to Software Eng. (ENASE 12), 2012, pp. 75–84.

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    Published In

    cover image IEEE Software
    IEEE Software  Volume 34, Issue 2
    March 2017
    107 pages

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    IEEE Computer Society Press

    Washington, DC, United States

    Publication History

    Published: 01 March 2017

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    • (2024)Channeling the Voice of the Crowd: Applying Structured Queries in User Feedback CollectionRequirements Engineering: Foundation for Software Quality10.1007/978-3-031-57327-9_18(284-301)Online publication date: 8-Apr-2024
    • (2023)Using Voice and Biofeedback to Predict User Engagement during Product Feedback InterviewsACM Transactions on Software Engineering and Methodology10.1145/363571233:4(1-36)Online publication date: 6-Dec-2023
    • (2023)A Software Requirements Ecosystem: Linking Forum, Issue Tracker, and FAQs for Requirements ManagementIEEE Transactions on Software Engineering10.1109/TSE.2022.321945849:4(2381-2393)Online publication date: 1-Apr-2023
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