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dc.contributor.authorFelfernig, Alexander
dc.contributor.authorStetinger, Martin
dc.contributor.authorFalkner, Andreas
dc.contributor.authorAtas, Muslum
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorPalomares Bonache, Cristina
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2018-07-06T06:41:57Z
dc.date.available2018-07-06T06:41:57Z
dc.date.issued2017
dc.identifier.citationFelfernig, A., Stetinger, M., Falkner, A., Atas, M., Franch, X., Palomares, C. OpenReq: recommender systems in requirements engineering. A: Workshop on Recommender Systems and Big Data Analytics. "Proceedings of the Workshop Papers of i-Know 2017: co-located with International Conference on Knowledge Technologies and Data-Driven Business 2017 (i-Know 2017): Graz, Austria, October 11-12, 2017". CEUR-WS.org, 2017, p. 1-4.
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/2117/119016
dc.description.abstractThe major focus of OpenReq is the development of recommendation and decision technologies that effciently support requirements engineering processes in large and distributed software projects. Example scenarios thereof are the bid management in industrial systems, requirements engineering in cross-plattform open source software development, and requirements management in large user communities (telecommunications sector). The aim of this paper is to provide an overview of OpenReq and to provide insights into related application scenarios and research issues.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherCEUR-WS.org
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshRecommender systems (Information filtering)
dc.subject.lcshRequirements engineering
dc.titleOpenReq: recommender systems in requirements engineering
dc.typeConference report
dc.subject.lemacSistemes recomanadors (Filtratge d'informació)
dc.subject.lemacEnginyeria del programari
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ceur-ws.org/Vol-2025/
dc.rights.accessOpen Access
local.identifier.drac23226739
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/732463/EU/Intelligent Recommendation Decision Technologies for Community-Driven Requirements Engineering/OPENREQ
local.citation.authorFelfernig, A.; Stetinger, M.; Falkner, A.; Atas, M.; Franch, X.; Palomares, C.
local.citation.contributorWorkshop on Recommender Systems and Big Data Analytics
local.citation.publicationNameProceedings of the Workshop Papers of i-Know 2017: co-located with International Conference on Knowledge Technologies and Data-Driven Business 2017 (i-Know 2017): Graz, Austria, October 11-12, 2017
local.citation.startingPage1
local.citation.endingPage4


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