A hybrid effort estimation model for perfective maintenance: a real experience

Autores
Irrazábal, Emanuel; Osorio, Zurisadai Benjamin; Garzás, JAvier
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionalities that provide zero function points. These functionalities can be supported by the model through impact points. Likewise, the micro function points and weighted risks have been included to provide a more realistic estimate. Finally, the model was implemented in a SME where the estimates were very approximates to the real effort. As result, the model could be implemented in a small organization with a stable maintenance process and effort deviation was 11% after applying the model.
Presentado en el VIII Workshop Ingeniería de Software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Hybrid systems
Software maintenance
Models
estimation model; perfective maintenance; effort; impact points; micro function points; methods
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:10915/18724
Acceder
id SEDICI_780df7b25b9b70a7f9c060fe487400e9
oai_identifier_str oai:sedici.unlp.edu.ar:10915/18724
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A hybrid effort estimation model for perfective maintenance: a real experienceIrrazábal, EmanuelOsorio, Zurisadai BenjaminGarzás, JAvierCiencias InformáticasHybrid systemsSoftware maintenanceModelsestimation model; perfective maintenance; effort; impact points; micro function points; methodsThis paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionalities that provide zero function points. These functionalities can be supported by the model through impact points. Likewise, the micro function points and weighted risks have been included to provide a more realistic estimate. Finally, the model was implemented in a SME where the estimates were very approximates to the real effort. As result, the model could be implemented in a small organization with a stable maintenance process and effort deviation was 11% after applying the model.Presentado en el VIII Workshop Ingeniería de Software (WIS)Red de Universidades con Carreras en Informática (RedUNCI)2011-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf679-688http://sedici.unlp.edu.ar/handle/10915/18724enginfo: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:UNLP2025-09-29T10:53:37Zoai:sedici.unlp.edu.ar:10915/18724Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:53:37.346SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A hybrid effort estimation model for perfective maintenance: a real experience
title A hybrid effort estimation model for perfective maintenance: a real experience
spellingShingle A hybrid effort estimation model for perfective maintenance: a real experience
Irrazábal, Emanuel
Ciencias Informáticas
Hybrid systems
Software maintenance
Models
estimation model; perfective maintenance; effort; impact points; micro function points; methods
title_short A hybrid effort estimation model for perfective maintenance: a real experience
title_full A hybrid effort estimation model for perfective maintenance: a real experience
title_fullStr A hybrid effort estimation model for perfective maintenance: a real experience
title_full_unstemmed A hybrid effort estimation model for perfective maintenance: a real experience
title_sort A hybrid effort estimation model for perfective maintenance: a real experience
dc.creator.none.fl_str_mv Irrazábal, Emanuel
Osorio, Zurisadai Benjamin
Garzás, JAvier
author Irrazábal, Emanuel
author_facet Irrazábal, Emanuel
Osorio, Zurisadai Benjamin
Garzás, JAvier
author_role author
author2 Osorio, Zurisadai Benjamin
Garzás, JAvier
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Hybrid systems
Software maintenance
Models
estimation model; perfective maintenance; effort; impact points; micro function points; methods
topic Ciencias Informáticas
Hybrid systems
Software maintenance
Models
estimation model; perfective maintenance; effort; impact points; micro function points; methods
dc.description.none.fl_txt_mv This paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionalities that provide zero function points. These functionalities can be supported by the model through impact points. Likewise, the micro function points and weighted risks have been included to provide a more realistic estimate. Finally, the model was implemented in a SME where the estimates were very approximates to the real effort. As result, the model could be implemented in a small organization with a stable maintenance process and effort deviation was 11% after applying the model.
Presentado en el VIII Workshop Ingeniería de Software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionalities that provide zero function points. These functionalities can be supported by the model through impact points. Likewise, the micro function points and weighted risks have been included to provide a more realistic estimate. Finally, the model was implemented in a SME where the estimates were very approximates to the real effort. As result, the model could be implemented in a small organization with a stable maintenance process and effort deviation was 11% after applying the model.
publishDate 2011
dc.date.none.fl_str_mv 2011-10
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/10915/18724
url http://sedici.unlp.edu.ar/handle/10915/18724
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
679-688
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
_version_ 1844615792112435200
score 13.070432

Publicaciones similares