The Crowd in Requirements Engineering: The Landscape and Challenges

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...

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Veröffentlicht in:IEEE software Jg. 34; H. 2; S. 44 - 52
Hauptverfasser: Groen, Eduard C., Seyff, Norbert, Ali, Raian, Dalpiaz, Fabiano, Doerr, Joerg, Guzman, Emitza, Hosseini, Mahmood, Marco, Jordi, Oriol, Marc, Perini, Anna, Stade, Melanie
Format: Journal Article Verlag
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.03.2017
IEEE Computer Society
Schlagworte:
Context awareness
Context modeling
Continuous flow
crowd-based requirements engineering
CrowdRE
Crowdsourcing
Enginyeria de programari
Enginyeria del software
Informàtica
Monitoring
Object-oriented programming (Computer science)
Programació orientada a l'objecte (Informàtica)
Requirements analysis
requirements engineering
Software
Software development
Software engineering
software requirements
Stakeholders
user feedback
Àrees temàtiques de la UPC
ISSN:0740-7459, 1937-4194
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2017.33