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dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2021-05-12T07:18:43Z
dc.date.issued2020
dc.identifier.citationFranch, X. Data-driven requirements engineering: A guided tour. A: International Conference on Evaluation of Novel Approaches to Software Engineering. "Evaluation of Novel Approaches to Software Engineering: 15th International Conference, ENASE 2020, Prague, Czech Republic, May 5-6, 2020: revised selected papers". Berlín: Springer, 2020, p. 83-105. ISBN 978-3-030-70006-5. DOI 10.1007/978-3-030-70006-5_4.
dc.identifier.isbn978-3-030-70006-5
dc.identifier.urihttp://hdl.handle.net/2117/345476
dc.description.abstractData-driven approaches are becoming dominant in almost every single software engineering activity, and requirements engineering is not the exception. The analysis of data coming from several sources may indeed become an extremely useful input to requirements elicitation and management. However, benefits do not come for free. Techniques such as natural language processing and machine learning are difficult to master and require high-quality data and specific competences from different fields, whilst their generalization remains as a challenge. This paper introduces the main concepts behind data-driven requirements engineering, provides an overview of the state of the art in the field and identifies the main challenges to be addressed.
dc.description.sponsorshipThis work is partially supported by the GENESIS project, funded by the Spanish Ministerio de Ciencia e Innovación under contract TIN2016-79269-R.
dc.format.extent23 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshRequirements engineering
dc.subject.otherRequirements engineering
dc.subject.otherData-driven requirements engineering
dc.subject.otherFeedback
dc.subject.otherNatural language processing
dc.subject.otherSoftware analytics
dc.subject.otherMonitoring
dc.subject.otherDecision-making
dc.subject.otherRelease planning
dc.titleData-driven requirements engineering: A guided tour
dc.typeConference report
dc.subject.lemacEnginyeria de requisits
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1007/978-3-030-70006-5_4
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-70006-5_4
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac31279749
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2016-79269-R
dc.date.lift2022-02-27
local.citation.authorFranch, X.
local.citation.contributorInternational Conference on Evaluation of Novel Approaches to Software Engineering
local.citation.pubplaceBerlín
local.citation.publicationNameEvaluation of Novel Approaches to Software Engineering: 15th International Conference, ENASE 2020, Prague, Czech Republic, May 5-6, 2020: revised selected papers
local.citation.startingPage83
local.citation.endingPage105


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