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dc.creatorQuesada López, Christian Ulises
dc.creatorMurillo Morera, Juan
dc.creatorCastro Herrera, Carlos
dc.creatorJenkins Coronas, Marcelo
dc.date.accessioned2018-01-17T21:23:18Z
dc.date.available2018-01-17T21:23:18Z
dc.date.issued2016-11-09
dc.identifier.citationhttp://ieeexplore.ieee.org/document/7942360/
dc.identifier.isbn978-1-4673-9578-6
dc.identifier.isbn978-1-4673-9579-3
dc.identifier.urihttps://hdl.handle.net/10669/73871
dc.description.abstractSoftware effort estimation models has been an area of considerable research for many years and it is still a challenge for software engineering. Although Functional Size Measurement (FSM) methods have become widely used, effort estimation based on the functional size still needs further research. Unbiased and comprehensive comparison between prediction models is needed. Some studies suggest that the relationship between effort and the base functional components of a FSM method would improve estimation models. This paper evaluates the structure of COSMIC FFP base functional components and its applicability in functional size based effort estimation models. Our study reports a benchmarking experiment evaluating 600 learning schemes for 12 ISBSG R12 sub datasets in business application projects which were sized by the COSMIC FSM method. In total, 7,200 runs were conducted (Learning schemes X Datasets) and the best learning schemes were reported by dataset. Lessons learned after conducting the experiment are discussed.es_ES
dc.description.sponsorshipUniversity of Costa Rica/[834-B5-A18]/UCR/Costa Ricaes_ES
dc.description.sponsorshipMinistry of Science, Technology and Telecommunications/[]/MICITT/Costa Ricaes_ES
dc.language.isoen_USes_ES
dc.sourceCentral American and Panama Convention (CONCAPAN XXXVI); San José, Costa Rica.2016es_ES
dc.subjectCOSMIC Basees_ES
dc.subjectCOSMIC FFPes_ES
dc.subjectFunctional Size Measurementes_ES
dc.titleCOSMIC Base Functional Components in Functional Size Based Effort Estimation Modelses_ES
dc.typeartículo original
dc.identifier.doi10.1109/CONCAPAN.2016.7942360
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)es_ES
dc.identifier.codproyecto834-B5-A18


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