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dc.creatorÁlvarez Macías, José Luises
dc.creatorMata Vázquez, Jacintoes
dc.creatorRiquelme Santos, José Cristóbales
dc.date.accessioned2023-05-03T10:31:19Z
dc.date.available2023-05-03T10:31:19Z
dc.date.issued2004
dc.identifier.citationÁlvarez Macías, J.L., Mata Vázquez, J. y Riquelme Santos, J.C. (2004). Data Mining for the Management of Software Development Process. International Journal of Software Engineering and Knowledge Engineering, 14 (6), 665-695. https://doi.org/10.1142/S0218194004001841.
dc.identifier.issn0218-1940 (impreso)es
dc.identifier.issn1793-6403 (online)es
dc.identifier.urihttps://hdl.handle.net/11441/145281
dc.description.abstractIn this paper we present a new method for the application of data mining tools on the management phase of software development process. Specifically, we describe two tools, the first one based on supervised learning, and the second one on unsupervised learning. The goal of this method is to induce a set of management rules that make easy the development process to the managers. Depending on how and to what is this method applied, it will permit an a priori analysis, a monitoring of the project or a post-mortem analysises
dc.formatapplication/pdfes
dc.format.extent30es
dc.language.isoenges
dc.publisherWorld Scientific Publishing Companyes
dc.relation.ispartofInternational Journal of Software Engineering and Knowledge Engineering, 14 (6), 665-695.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProject Managementes
dc.subjectSoftware Metricses
dc.subjectSoftware Project Simulationes
dc.subjectData Mininges
dc.titleData Mining for the Management of Software Development Processes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.publisherversionhttps://www.worldscientific.com/doi/abs/10.1142/S0218194004001841es
dc.identifier.doi10.1142/S0218194004001841es
dc.journaltitleInternational Journal of Software Engineering and Knowledge Engineeringes
dc.publication.volumen14es
dc.publication.issue6es
dc.publication.initialPage665es
dc.publication.endPage695es

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