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The Crowd in Requirements Engineering: The Landscape and Challenges.

Groen, E., Seyff, N., Ali, R., Dalpiaz, F., Doerr, J., Guzman, E., Hosseini, M., Marco, J., Oriol, M., Perini, A. and Stade, M., 2017. The Crowd in Requirements Engineering: The Landscape and Challenges. IEEE Software, 34 (2), 44-52.

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DOI: 10.1109/MS.2017.33

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.

Item Type:Article
ISSN:0740-7459
Additional Information:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:crowd-based requirements engineering; CrowdRE; user feedback; requirements engineering; software requirements; crowdsourcing; software development; software engineering; stakeholders
Group:Faculty of Science & Technology
ID Code:28519
Deposited By: Symplectic RT2
Deposited On:06 Apr 2017 10:54
Last Modified:14 Mar 2022 14:03

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