Software size estimation in the early stages of development

Autores
Centeno, María Elena; Bertolami, Mabel Angélica; Oliveros, Alejandro
Año de publicación
2009
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents a pilot study that raised the estimate of functional size in the very early stages of software development. The goal is to find a relationship between some measures of artifacts produced in the Requirements Elicitation process such as the Language Extended Lexicon (LEL) and Function Points (FP) of the scenarios. From a set of case studies the respective LELs were measured and the FP of the scenarios were calculated. The values obtained were related using different regression models. The models were object of a rigorous statistical analysis to identify the one that best represents the experimental data based on the values of their statistics. Finally, the model was tested on data collected from three applications that are implemented.
VI Workshop Ingeniería de Software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Models
Software development
Language Extended Lexicon (LEL)
Function Points (FP)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/21083
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/21083
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Software size estimation in the early stages of developmentCenteno, María ElenaBertolami, Mabel AngélicaOliveros, AlejandroCiencias InformáticasModelsSoftware developmentLanguage Extended Lexicon (LEL)Function Points (FP)This paper presents a pilot study that raised the estimate of functional size in the very early stages of software development. The goal is to find a relationship between some measures of artifacts produced in the Requirements Elicitation process such as the Language Extended Lexicon (LEL) and Function Points (FP) of the scenarios. From a set of case studies the respective LELs were measured and the FP of the scenarios were calculated. The values obtained were related using different regression models. The models were object of a rigorous statistical analysis to identify the one that best represents the experimental data based on the values of their statistics. Finally, the model was tested on data collected from three applications that are implemented.VI Workshop Ingeniería de Software (WIS)Red de Universidades con Carreras en Informática (RedUNCI)2009-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf941-950http://sedici.unlp.edu.ar/handle/10915/21083enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:54:31Zoai:sedici.unlp.edu.ar:10915/21083Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:31.338SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Software size estimation in the early stages of development
title Software size estimation in the early stages of development
spellingShingle Software size estimation in the early stages of development
Centeno, María Elena
Ciencias Informáticas
Models
Software development
Language Extended Lexicon (LEL)
Function Points (FP)
title_short Software size estimation in the early stages of development
title_full Software size estimation in the early stages of development
title_fullStr Software size estimation in the early stages of development
title_full_unstemmed Software size estimation in the early stages of development
title_sort Software size estimation in the early stages of development
dc.creator.none.fl_str_mv Centeno, María Elena
Bertolami, Mabel Angélica
Oliveros, Alejandro
author Centeno, María Elena
author_facet Centeno, María Elena
Bertolami, Mabel Angélica
Oliveros, Alejandro
author_role author
author2 Bertolami, Mabel Angélica
Oliveros, Alejandro
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Models
Software development
Language Extended Lexicon (LEL)
Function Points (FP)
topic Ciencias Informáticas
Models
Software development
Language Extended Lexicon (LEL)
Function Points (FP)
dc.description.none.fl_txt_mv This paper presents a pilot study that raised the estimate of functional size in the very early stages of software development. The goal is to find a relationship between some measures of artifacts produced in the Requirements Elicitation process such as the Language Extended Lexicon (LEL) and Function Points (FP) of the scenarios. From a set of case studies the respective LELs were measured and the FP of the scenarios were calculated. The values obtained were related using different regression models. The models were object of a rigorous statistical analysis to identify the one that best represents the experimental data based on the values of their statistics. Finally, the model was tested on data collected from three applications that are implemented.
VI Workshop Ingeniería de Software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper presents a pilot study that raised the estimate of functional size in the very early stages of software development. The goal is to find a relationship between some measures of artifacts produced in the Requirements Elicitation process such as the Language Extended Lexicon (LEL) and Function Points (FP) of the scenarios. From a set of case studies the respective LELs were measured and the FP of the scenarios were calculated. The values obtained were related using different regression models. The models were object of a rigorous statistical analysis to identify the one that best represents the experimental data based on the values of their statistics. Finally, the model was tested on data collected from three applications that are implemented.
publishDate 2009
dc.date.none.fl_str_mv 2009-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/21083
url http://sedici.unlp.edu.ar/handle/10915/21083
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
941-950
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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