Welcome to the Fourth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'20)

Bano, M; Groen, EC; Hadar, I; Mahmoud, A

Welcome to the Fourth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'20)

Bano, M

Groen, EC Hadar, I Mahmoud, A

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 4th International Workshop on Crowd-Based Requirements Engineering (CrowdRE), 2020, pp. VI-VII
Issue Date:: 2020-08-01

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Field	Value	Language
dc.contributor.author	Bano, M https://orcid.org/0000-0002-1447-9521
dc.contributor.author	Groen, EC
dc.contributor.author	Hadar, I
dc.contributor.author	Mahmoud, A
dc.date	2020-08-31
dc.date.accessioned	2021-06-10T05:26:54Z
dc.date.available	2021-06-10T05:26:54Z
dc.date.issued	2020-08-01
dc.identifier.citation	2020 4th International Workshop on Crowd-Based Requirements Engineering (CrowdRE), 2020, pp. VI-VII
dc.identifier.isbn	9781728183626
dc.identifier.uri	http://hdl.handle.net/10453/149487
dc.description.abstract	Welcome to the 4th International Workshop on Crowd-Based Requirements Engineering (CrowdRE'20), where scientists and representatives of industry meet to exchange ideas, experiences, and other contributions regarding the state of the art of Crowd-Based Requirements Engineering (CrowdRE). The discipline of CrowdRE seeks to address the challenges of traditional requirements engineering (RE) in scaling up to settings with thousands to millions of users of (software) products or (softwaredriven) services, who form a large and heterogeneous group that can be denoted as a 'crowd' [1],[2]. The user feedback generated by the crowd, such as texts or usage data, can be a valuable source of requirements, problems, wishes, and needs. Responding quickly, effectively, and iteratively to this feedback can greatly increase a product's success. CrowdRE comprises any approach that provides RE with suitable means for this crowd paradigm, especially by involving the crowd and by collecting, harmonizing, analyzing, and interpreting their user feedback.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 4th International Workshop on Crowd-Based Requirements Engineering (CrowdRE)
dc.relation.ispartof	International Workshop on Crowd-Based Requirements Engineering
dc.relation.isbasedon	10.1109/CrowdRE51214.2020.00005
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Welcome to the Fourth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'20)
dc.type	Conference Proceeding
utslib.location.activity	Switzerland
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-06-10T05:26:52Z
pubs.finish-date	2020-09-04
pubs.publication-status	Published
pubs.start-date	2020-08-31

Abstract:

Welcome to the 4th International Workshop on Crowd-Based Requirements Engineering (CrowdRE'20), where scientists and representatives of industry meet to exchange ideas, experiences, and other contributions regarding the state of the art of Crowd-Based Requirements Engineering (CrowdRE). The discipline of CrowdRE seeks to address the challenges of traditional requirements engineering (RE) in scaling up to settings with thousands to millions of users of (software) products or (softwaredriven) services, who form a large and heterogeneous group that can be denoted as a 'crowd' [1],[2]. The user feedback generated by the crowd, such as texts or usage data, can be a valuable source of requirements, problems, wishes, and needs. Responding quickly, effectively, and iteratively to this feedback can greatly increase a product's success. CrowdRE comprises any approach that provides RE with suitable means for this crowd paradigm, especially by involving the crowd and by collecting, harmonizing, analyzing, and interpreting their user feedback.

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http://hdl.handle.net/10453/149487