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...
Guardado en:
| Autor principal: | Barraza, Néstor Rubén |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2014
|
| Materias: | |
| 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: |
Ejemplares similares
-
A New Homogeneous Pure Birth Process based Software Reliability Model
por: Barraza, Néstor Rubén
Publicado: (2016) -
Integrating Empirical Software Engineering practice in South America
por: Robiolo, Gabriela
Publicado: (2015) -
Software Reliability models for the first stage of Software Projects
por: Barraza, Néstor Rubén, et al.
Publicado: (2018) -
Compound and Non Homogeneous Poisson Software Reliability Models
por: Barraza, Néstor Rubén
Publicado: (2010) -
Anexo 5: Tutorial para uso del programa MrBayes
por: Barrile, Franco, et al.
Publicado: (2021)