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dc.creatorQuesada López, Christian Ulises
dc.creatorMadrigal Sánchez, Denisse
dc.creatorJenkins Coronas, Marcelo
dc.date.accessioned2019-05-08T15:23:13Z
dc.date.available2019-05-08T15:23:13Z
dc.date.issued2016
dc.identifier.isbn978-1-5108-2718-9
dc.identifier.urihttps://hdl.handle.net/10669/76944
dc.description.abstractBackground: Function point analysis (FPA) has become widely used to measure software functional size in the industry. FPA is usually performed manually, which is a time consuming and expensive process. Automated Function Point (AFP) specification states the guidelines for automating FPA counting from software source code, generally consistent with current FPA practices. Objective: This paper analyzes the relationships between FPA and AFP measures and measurement process. This includes total function points and basic functional components (BFC) size. The goals are to evaluate accuracy, reproducibility, perceived ease of use, usefulness, and intention to use and to understand the nature of the differences between measures. Method: A controlled experiment was conducted to evaluate the FPA and AFP measurement process with 14 participants (E1). We have subsequently conducted two replications of the original experiment with 12 participants each (E2 and E3). Statistical analyses were conducted to find differences between the methods regarding effectiveness and adoption properties. Results: Participants using FPA performed as well as participants using AFP to measure total functional size. Treatment and control groups did not differ significantly in terms of accuracy and reproducibility (p<0.05) throughout E1, E2 and E3. FPA presented similar accuracy to AFP for each replication. Participants between experiments performed different; data function (DF) results show an important difference between methods. Conclusions: The results confirm the potential for developing automation tools for function point counting that could produce more consistent measurement results; however, this process should be conducted carefully, depending on the implementation of a given requirements specification, AFP could produce different results. Although encouraging results were obtained, further research is needed to confirm performance results and to draw more conclusions on the perceived adoption properties.es_ES
dc.description.sponsorshipUniversidad de Costa Rica/[834-B5-A18]/UCR/Costa Ricaes_ES
dc.description.sponsorshipMinisterio de Ciencia, Tecnología y Telecomunicaciones/[]/MICITT/Costa Ricaes_ES
dc.language.isoen_USes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceXIX Ibero-American Conference on Software Engineering, Quito, Ecuador: Curran Associates, Inc.es_ES
dc.subjectFunctional size measurementes_ES
dc.subjectFunction pointses_ES
dc.subjectFunction point analysises_ES
dc.subjectFPAes_ES
dc.subjectAutomated function pointses_ES
dc.subjectAFPes_ES
dc.subjectExperimental procedurees_ES
dc.subjectReplicationes_ES
dc.titleAn Empirical Evaluation of Automated Function Pointses_ES
dc.typecontribución de congreso
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)es_ES
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informáticaes_ES
dc.identifier.codproyecto834-B5-A18


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional