Compound and Non Homogeneous Poisson Software Reliability Models

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...

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Autor principal: Barraza, Néstor Rubén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/152908
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asse-17.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-152908
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spelling I19-R120-10915-1529082023-05-12T20:04:39Z http://sedici.unlp.edu.ar/handle/10915/152908 http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asse-17.pdf issn:1850-2792 Compound and Non Homogeneous Poisson Software Reliability Models Barraza, Néstor Rubén 2010 2010 2023-05-12T15:47:48Z en Ciencias Informáticas Software Reliability Poisson maximum likelihood mode estimator Plackett Poisson truncated at zero 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 Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 461-472
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
spellingShingle Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
Barraza, Néstor Rubén
Compound and Non Homogeneous Poisson Software Reliability Models
topic_facet Ciencias Informáticas
Software Reliability
Poisson
maximum likelihood
mode estimator
Plackett
Poisson truncated at zero
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.
format Objeto de conferencia
Objeto de conferencia
author Barraza, Néstor Rubén
author_facet Barraza, Néstor Rubén
author_sort Barraza, Néstor Rubén
title Compound and Non Homogeneous Poisson Software Reliability Models
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
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/152908
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asse-17.pdf
work_keys_str_mv AT barrazanestorruben compoundandnonhomogeneouspoissonsoftwarereliabilitymodels
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