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Methodology for software development estimation optimization based on neural networks

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: SoftLabes
dc.contributor.authorGarcía Crespo, Ángel
dc.contributor.authorColomo Palacios, Ricardo
dc.contributor.authorLópez-Cuadrado, José Luis
dc.contributor.authorRuiz Mezcua, María Belén
dc.date.accessioned2012-06-06T08:29:47Z
dc.date.available2012-06-06T08:29:47Z
dc.date.issued2011-06-16
dc.description.abstractOne of the most important tasks of a software development project manager is to produce accurate time and effort estimations. Improving the estimation accuracy is a widely recognized benefit for several software development processes. In order to achieve these objectives, there are proposals based on Artificial Intelligence techniques and specifically artificial neural networks. This paper proposes an optimization methodology for searching the best neural model applicable to the effort estimation of software projects. This will draw on a set of known factors in the early stages of development, outside the complex calculation of function points, which would entail a high level of maturity and definition of the project. This methodology has allowed, on the one hand, ensure the adequacy of the proposed neural network model and, on the other hand, optimize the performance, both in time and accuracy.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE Latin America Transactions , (June 2011), 9(3), 384-398.
dc.identifier.doi10.1109/TLA.2011.5893788
dc.identifier.issn1548-0992
dc.identifier.publicationfirstpage384
dc.identifier.publicationissue3
dc.identifier.publicationlastpage398
dc.identifier.publicationtitleIEEE Latin America Transactions
dc.identifier.publicationvolume9
dc.identifier.urihttps://hdl.handle.net/10016/14478
dc.language.isoeng
dc.publisherIEEE
dc.relation.publisherversionhttp://dx.doi.org/10.1109/TLA.2011.5893788
dc.rights© IEEE
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherNeural networks
dc.subject.otherSoftware engineering
dc.subject.otherEffort estimation
dc.subject.otherOptimization methodology
dc.titleMethodology for software development estimation optimization based on neural networks
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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