This article proposes a novel deep clustering model based on the variational autoencoder
(VAE), named GamMM-VAE, which can learn latent representations of training data for …

In this paper, two models predicting mean time until next failure based on Bayesian
approach are presented. Times between failures follow Weibull distributions with …

In our previous paper (2000), a Bayesian software reliability model with stochastically
decreasing hazard rate was presented. Within any given failure time interval, the hazard rate …

Bayesian estimation of finite Gamma mixture model (GaMM) has attracted considerable
attention recently due to its capability of modeling positive data. With conventional …

We develop a Bayesian framework for estimating the means of two random variables when
only the sum of those random variables can be observed. Mixture models are proposed for …

We extend the multiprocess dynamic models to the general non-Gaussian and nonlinear
setting. Under this framework, we propose specific models to simultaneously model …

Reliability is a very important index of software, which needs strict testing, which is time-
consuming and laborious. Traditional software reliability testing is carried out in the order of" …

Software reliability evaluation plays an important role in the software reliability engineering.
Software reliability qualitative evaluation technology can be an effective way to make up for …