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dc.contributor.authorFalkner, Andreas
dc.contributor.authorPalomares Bonache, Cristina
dc.contributor.authorFranch Gutiérrez, Javier
dc.contributor.authorSchenner, Gottfried
dc.contributor.authorAznar Puyalto, Pablo
dc.contributor.authorSchoerghuber, Alexander
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2019-05-30T09:48:09Z
dc.date.available2020-05-31T00:25:29Z
dc.date.issued2019
dc.identifier.citationFalkner, A. [et al.]. Identifying requirements in requests for proposal. A: International Working Conference on Requirements Engineering: Foundation for Software Quality. "Requirements Engineering: Foundation for Software Quality 25th International Working Conference, REFSQ 2019: Essen, Germany, March 18-21, 2019: proceedings". Springer, 2019, p. 176-182.
dc.identifier.isbn978-3-030-15538-4
dc.identifier.urihttp://hdl.handle.net/2117/133689
dc.description.abstractAbstract. [Context & motivation] Bidding processes are a usual requirement elicitation instrument for large IT or infrastructure projects. An organization or agency issues a Request for Proposal (RFP) and interested companies may submit compliant offers. [Problem] Such RFPs comprise natural language documents of several hundreds of pages with requirements of various kinds mixed with other information. The analysis of that huge amount of information is very time consuming and cumbersome because bidding companies should not disregard any requirement stated in the RFP. [Principal ideas/results] This research preview paper presents a first version of a classification component, OpenReq Classification Service (ORCS), which extracts requirements from RFP documents while discarding irrelevant text. ORCS is based on the use of Naïve Bayes classifiers. We have trained ORCS with 6 RFPs and then tested the component with 4 other RFPs, all of them from the railway safety domain. [Contribution] ORCS paves the way to improved productivity by reducing the manual effort needed to identify requirements from natural language RFPs
dc.format.extent7 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshRequirements engineering
dc.subject.otherRequirements elicitation
dc.subject.otherRequirements identification
dc.subject.otherRequest for proposal
dc.subject.otherBidding process
dc.subject.otherClassification.
dc.titleIdentifying requirements in requests for proposal
dc.typeConference report
dc.subject.lemacEnginyeria de requisits
dc.contributor.groupUniversitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.identifier.doi10.1007/978-3-030-15538-4_13
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-15538-4_13
dc.rights.accessOpen Access
local.identifier.drac23963991
dc.description.versionPostprint (author's final draft)
local.citation.authorFalkner, A.; Palomares, C.; Franch, X.; Schenner, G.; Aznar, P.; Schoerghuber, A.
local.citation.contributorInternational Working Conference on Requirements Engineering: Foundation for Software Quality
local.citation.publicationNameRequirements Engineering: Foundation for Software Quality 25th International Working Conference, REFSQ 2019: Essen, Germany, March 18-21, 2019: proceedings
local.citation.startingPage176
local.citation.endingPage182


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