Identifying requirements in requests for proposal

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/133689

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor	Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.contributor.author	Falkner, Andreas
dc.contributor.author	Palomares Bonache, Cristina
dc.contributor.author	Franch Gutiérrez, Javier
dc.contributor.author	Schenner, Gottfried
dc.contributor.author	Aznar Puyalto, Pablo
dc.contributor.author	Schoerghuber, Alexander
dc.date	2019
dc.identifier.citation	Falkner, 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.citation	978-3-030-15538-4
dc.identifier.citation	10.1007/978-3-030-15538-4_13
dc.identifier.uri	http://hdl.handle.net/2117/133689
dc.language.iso	eng
dc.publisher	Springer
dc.relation	https://link.springer.com/chapter/10.1007/978-3-030-15538-4_13
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject	Requirements engineering
dc.subject	Requirements elicitation
dc.subject	Requirements identification
dc.subject	Request for proposal
dc.subject	Bidding process
dc.subject	Classification.
dc.subject	Enginyeria de requisits
dc.title	Identifying requirements in requests for proposal
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Abstract. [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.description.abstract	Peer Reviewed

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