A New Homogeneous Pure Birth Process based Software Reliability Model

Authors
Barraza, Néstor Rubén
Publication Year
2016
Language
English
Format
conference paper
Status
Published version
Description
Software Reliability models has been developed for decades. The majority of them are based on non homogeneous Poisson processes, where the failure rate is a non linear function of time. They are also well described by pure birth processes what leads to non homogeneous continuous time Markov chains (NHCTMC), as it is usually used in the simulation of the stochastic software failure process. We propose in this work a different and novel approach. We consider a failure rate that does not depend on time but depends non linearly on the number of failures λr(t) = λr. We use the parametric Empirical Bayes framework in order to estimate λr.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Subject
Ciencias Informáticas
software reliability models
failure rate
Access level
Open access
License
Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
Repository
SEDICI (UNLP)
Institution
Universidad Nacional de La Plata
OAI Identifier
oai:sedici.unlp.edu.ar:10915/57254