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dc.date.accessioned 2014-10-21T15:27:52Z
dc.date.available 2014-10-21T15:27:52Z
dc.date.issued 2014
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/41665
dc.description.abstract 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. en
dc.format.extent 11-14 es
dc.language en es
dc.subject software reliability en
dc.subject empirical Bayes en
dc.subject growth model es
dc.title Empirical Bayes estimation of software failures en
dc.type Objeto de conferencia es
sedici.identifier.uri http://43jaiio.sadio.org.ar/proceedings/ASSE/01-02-580-2504-2-DR.pdf es
sedici.identifier.issn 1850-2792 es
sedici.creator.person Barraza, Néstor Rubén es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa (SADIO) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution 3.0 Unported (CC BY 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by/3.0/
sedici.date.exposure 2014-09
sedici.relation.event XLIII Jornadas Argentinas de Informática e Investigación Operativa (43JAIIO)-XV Simposio Argentino de Ingeniería de Software (Buenos Aires, 2014) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution 3.0 Unported (CC BY 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 3.0 Unported (CC BY 3.0)