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OpenReq: recommender systems in requirements engineering
dc.contributor.author | Felfernig, Alexander |
dc.contributor.author | Stetinger, Martin |
dc.contributor.author | Falkner, Andreas |
dc.contributor.author | Atas, Muslum |
dc.contributor.author | Franch Gutiérrez, Javier |
dc.contributor.author | Palomares Bonache, Cristina |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2018-07-06T06:41:57Z |
dc.date.available | 2018-07-06T06:41:57Z |
dc.date.issued | 2017 |
dc.identifier.citation | Felfernig, 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.issn | 1613-0073 |
dc.identifier.uri | http://hdl.handle.net/2117/119016 |
dc.description.abstract | The 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.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | CEUR-WS.org |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Enginyeria del software |
dc.subject.lcsh | Recommender systems (Information filtering) |
dc.subject.lcsh | Requirements engineering |
dc.title | OpenReq: recommender systems in requirements engineering |
dc.type | Conference report |
dc.subject.lemac | Sistemes recomanadors (Filtratge d'informació) |
dc.subject.lemac | Enginyeria del programari |
dc.contributor.group | Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ceur-ws.org/Vol-2025/ |
dc.rights.access | Open Access |
local.identifier.drac | 23226739 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/732463/EU/Intelligent Recommendation Decision Technologies for Community-Driven Requirements Engineering/OPENREQ |
local.citation.author | Felfernig, A.; Stetinger, M.; Falkner, A.; Atas, M.; Franch, X.; Palomares, C. |
local.citation.contributor | Workshop on Recommender Systems and Big Data Analytics |
local.citation.publicationName | 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 |
local.citation.startingPage | 1 |
local.citation.endingPage | 4 |