A proposal of effort estimation method for information mining projects oriented to SMEs

Autores
Pytel, Pablo; Britos, Paola Verónica; García Martínez, Ramón
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Software projects need to predict the cost and effort with its associated quantity of resources at the beginning of every project. Information Mining projects are not an exception to this requirement, particularly when they are required by Small and Medium-sized Enterprises (SMEs). An existing Information Mining projects estimation method is not reliable for small-sized projects because it tends to overestimates the estimated efforts. Therefore, considering the characteristics of these projects developed with the CRISP-DM methodology, an estimation method oriented to SMEs is proposed in this paper. First, the main features of SMEs' projects are described and applied as cost drivers of the new method with the corresponding formula. Then this is validated by comparing its results to the existing estimation method using SMEs real projects. As a result, it can be seen that the proposed method produces a more accurate estimation than the existing estimation method for small-sized projects.
Publicado en: Lecture Notes in Business Information Processing book series (LNBIP, volume 139)
Facultad de Informática
Materia
Ciencias Informáticas
Effort Estimation method
Information Mining
Project Planning
Small and Mediumsized Enterprises
Software Engineering
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/85345
Acceder
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network_name_str SEDICI (UNLP)
spelling A proposal of effort estimation method for information mining projects oriented to SMEsPytel, PabloBritos, Paola VerónicaGarcía Martínez, RamónCiencias InformáticasEffort Estimation methodInformation MiningProject PlanningSmall and Mediumsized EnterprisesSoftware EngineeringSoftware projects need to predict the cost and effort with its associated quantity of resources at the beginning of every project. Information Mining projects are not an exception to this requirement, particularly when they are required by Small and Medium-sized Enterprises (SMEs). An existing Information Mining projects estimation method is not reliable for small-sized projects because it tends to overestimates the estimated efforts. Therefore, considering the characteristics of these projects developed with the CRISP-DM methodology, an estimation method oriented to SMEs is proposed in this paper. First, the main features of SMEs' projects are described and applied as cost drivers of the new method with the corresponding formula. Then this is validated by comparing its results to the existing estimation method using SMEs real projects. As a result, it can be seen that the proposed method produces a more accurate estimation than the existing estimation method for small-sized projects.Publicado en: Lecture Notes in Business Information Processing book series (LNBIP, volume 139)Facultad de Informática2012-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf58-74http://sedici.unlp.edu.ar/handle/10915/85345enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-642-36611-6info:eu-repo/semantics/altIdentifier/issn/1865-1348info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-36611-6_5info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:57:22Zoai:sedici.unlp.edu.ar:10915/85345Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:57:22.992SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A proposal of effort estimation method for information mining projects oriented to SMEs
title A proposal of effort estimation method for information mining projects oriented to SMEs
spellingShingle A proposal of effort estimation method for information mining projects oriented to SMEs
Pytel, Pablo
Ciencias Informáticas
Effort Estimation method
Information Mining
Project Planning
Small and Mediumsized Enterprises
Software Engineering
title_short A proposal of effort estimation method for information mining projects oriented to SMEs
title_full A proposal of effort estimation method for information mining projects oriented to SMEs
title_fullStr A proposal of effort estimation method for information mining projects oriented to SMEs
title_full_unstemmed A proposal of effort estimation method for information mining projects oriented to SMEs
title_sort A proposal of effort estimation method for information mining projects oriented to SMEs
dc.creator.none.fl_str_mv Pytel, Pablo
Britos, Paola Verónica
García Martínez, Ramón
author Pytel, Pablo
author_facet Pytel, Pablo
Britos, Paola Verónica
García Martínez, Ramón
author_role author
author2 Britos, Paola Verónica
García Martínez, Ramón
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Effort Estimation method
Information Mining
Project Planning
Small and Mediumsized Enterprises
Software Engineering
topic Ciencias Informáticas
Effort Estimation method
Information Mining
Project Planning
Small and Mediumsized Enterprises
Software Engineering
dc.description.none.fl_txt_mv Software projects need to predict the cost and effort with its associated quantity of resources at the beginning of every project. Information Mining projects are not an exception to this requirement, particularly when they are required by Small and Medium-sized Enterprises (SMEs). An existing Information Mining projects estimation method is not reliable for small-sized projects because it tends to overestimates the estimated efforts. Therefore, considering the characteristics of these projects developed with the CRISP-DM methodology, an estimation method oriented to SMEs is proposed in this paper. First, the main features of SMEs' projects are described and applied as cost drivers of the new method with the corresponding formula. Then this is validated by comparing its results to the existing estimation method using SMEs real projects. As a result, it can be seen that the proposed method produces a more accurate estimation than the existing estimation method for small-sized projects.
Publicado en: Lecture Notes in Business Information Processing book series (LNBIP, volume 139)
Facultad de Informática
description Software projects need to predict the cost and effort with its associated quantity of resources at the beginning of every project. Information Mining projects are not an exception to this requirement, particularly when they are required by Small and Medium-sized Enterprises (SMEs). An existing Information Mining projects estimation method is not reliable for small-sized projects because it tends to overestimates the estimated efforts. Therefore, considering the characteristics of these projects developed with the CRISP-DM methodology, an estimation method oriented to SMEs is proposed in this paper. First, the main features of SMEs' projects are described and applied as cost drivers of the new method with the corresponding formula. Then this is validated by comparing its results to the existing estimation method using SMEs real projects. As a result, it can be seen that the proposed method produces a more accurate estimation than the existing estimation method for small-sized projects.
publishDate 2012
dc.date.none.fl_str_mv 2012-09
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/10915/85345
url http://sedici.unlp.edu.ar/handle/10915/85345
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-642-36611-6
info:eu-repo/semantics/altIdentifier/issn/1865-1348
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-36611-6_5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
58-74
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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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