Compound and Non Homogeneous Poisson Software Reliability Models

Autores
Barraza, Néstor Rubén
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The efficiency of two Software Reliability growth models are analyzed. The most popular based on a non homogeneous Poisson process and the less known based on a compound Poisson process. Several experimental data are used in order to analyze the goodness of fit of both models. The importance of the estimation method for the parameters involved is also analyzed.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
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:10915/152908
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/152908
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Compound and Non Homogeneous Poisson Software Reliability ModelsBarraza, Néstor RubénCiencias InformáticasSoftware ReliabilityPoissonmaximum likelihoodmode estimatorPlackettPoisson truncated at zeroThe efficiency of two Software Reliability growth models are analyzed. The most popular based on a non homogeneous Poisson process and the less known based on a compound Poisson process. Several experimental data are used in order to analyze the goodness of fit of both models. The importance of the estimation method for the parameters involved is also analyzed.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf461-472http://sedici.unlp.edu.ar/handle/10915/152908enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asse-17.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2792info: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:UNLP2025-10-22T17:20:17Zoai:sedici.unlp.edu.ar:10915/152908Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:20:17.454SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Compound and Non Homogeneous Poisson Software Reliability Models
title Compound and Non Homogeneous Poisson Software Reliability Models
spellingShingle Compound and Non Homogeneous Poisson Software Reliability Models
Barraza, Néstor Rubén
Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
title_short Compound and Non Homogeneous Poisson Software Reliability Models
title_full Compound and Non Homogeneous Poisson Software Reliability Models
title_fullStr Compound and Non Homogeneous Poisson Software Reliability Models
title_full_unstemmed Compound and Non Homogeneous Poisson Software Reliability Models
title_sort Compound and Non Homogeneous Poisson Software Reliability Models
dc.creator.none.fl_str_mv Barraza, Néstor Rubén
author Barraza, Néstor Rubén
author_facet Barraza, Néstor Rubén
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
topic Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
dc.description.none.fl_txt_mv The efficiency of two Software Reliability growth models are analyzed. The most popular based on a non homogeneous Poisson process and the less known based on a compound Poisson process. Several experimental data are used in order to analyze the goodness of fit of both models. The importance of the estimation method for the parameters involved is also analyzed.
Sociedad Argentina de Informática e Investigación Operativa
description The efficiency of two Software Reliability growth models are analyzed. The most popular based on a non homogeneous Poisson process and the less known based on a compound Poisson process. Several experimental data are used in order to analyze the goodness of fit of both models. The importance of the estimation method for the parameters involved is also analyzed.
publishDate 2010
dc.date.none.fl_str_mv 2010
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/10915/152908
url http://sedici.unlp.edu.ar/handle/10915/152908
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asse-17.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2792
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
461-472
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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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 12.982451

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