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dc.contributor.authorPINQUIE, Romain
dc.contributor.author
 hal.structure.identifier
COUE, Nicolas
468137 KEONYS [Toulouse]
dc.contributor.author
 hal.structure.identifier
SEGONDS, Frederic
127758 Laboratoire Conception de Produits et Innovation [LCPI]
dc.contributor.author
 hal.structure.identifier
VERON, Philippe
178374 Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques [LSIS- INSM]
dc.date.accessioned2015
dc.date.available2015
dc.date.issued2015
dc.date.submitted2015
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10985/10269
dc.description.abstractWith the fastidiously ever-increasing complexity of systems, the relentless, massive customisation of products and the mushrooming accumulation of legal documents (standards, policies and laws), we can observe a significant increase in requirements. We consider the tremendous volume of requirements as big data with which companies struggle to make strategic decisions early on. This paper proposes a collaborative requirement mining framework to enable the decision-makers of an Original Equipment Manufacturer (OEM) to gain insight and discover opportunities in a massive set of requirements so as to make early effective strategic decisions. The framework supports OEMs willing to uncover a subset of key requirements by distilling large unstructured and semistructured specifications.
dc.description.sponsorshipKeonys, Toulouse, France
dc.language.isoen
dc.publisherSpringer International Publishing
dc.rightsPost-print
dc.subjectRequirements
dc.subjectExploration
dc.subjectCooperative engineering
dc.subjectCollaboration decision making
dc.subjectVisual analytics
dc.subjectFramework
dc.titleA Collaborative Requirement Mining Framework to Support OEMs
dc.typdocCommunication avec acte
dc.localisationCentre de Aix en Provence
dc.subject.halInformatique: Ingénierie assistée par ordinateur
dc.subject.halInformatique: Intelligence artificielle
dc.subject.halInformatique: Recherche d'information
dc.subject.halStatistiques: méthodologie
ensam.audienceInternationale
ensam.conference.titleCooperative Design, Visualization, and Engineering
ensam.conference.date2015-09-20
ensam.countryEspagne
ensam.title.proceedingCooperative Design, Visualization, and Engineering
ensam.page105-114
ensam.volume9320
ensam.cityMallorca
hal.identifierhal-01207194
hal.version1
hal.submission.permittedupdateMetadata
hal.statusaccept


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