Empirical Bayes estimation of software failures

The empirical Bayes estimator is applied to software failures production. The time between failures data registered up to a given time, are used in order to estimate the probability of failure appearance dur- ing the next interval time. This method is similar to the estimation of n-grams in natural...

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Detalles Bibliográficos
Autor principal: Barraza, Néstor Rubén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
software reliability
empirical Bayes
growth model
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/41665
http://43jaiio.sadio.org.ar/proceedings/ASSE/01-02-580-2504-2-DR.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-41665
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
software reliability
empirical Bayes
growth model
spellingShingle Ciencias Informáticas
software reliability
empirical Bayes
growth model
Barraza, Néstor Rubén
Empirical Bayes estimation of software failures
topic_facet Ciencias Informáticas
software reliability
empirical Bayes
growth model
description The empirical Bayes estimator is applied to software failures production. The time between failures data registered up to a given time, are used in order to estimate the probability of failure appearance dur- ing the next interval time. This method is similar to the estimation of n-grams in natural language processing. A modi ed expression to the estimator usually used in language and speech processing is introduced in order to follow the failures production curve. Results of simulations comparing well with experimental data are also shown.
format Objeto de conferencia
Objeto de conferencia
author Barraza, Néstor Rubén
author_facet Barraza, Néstor Rubén
author_sort Barraza, Néstor Rubén
title Empirical Bayes estimation of software failures
title_short Empirical Bayes estimation of software failures
title_full Empirical Bayes estimation of software failures
title_fullStr Empirical Bayes estimation of software failures
title_full_unstemmed Empirical Bayes estimation of software failures
title_sort empirical bayes estimation of software failures
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/41665
http://43jaiio.sadio.org.ar/proceedings/ASSE/01-02-580-2504-2-DR.pdf
work_keys_str_mv AT barrazanestorruben empiricalbayesestimationofsoftwarefailures
bdutipo_str Repositorios
_version_ 1764820472779767812

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