In this paper we present a new, nonparametric approach to software reliability. It is based on a multivariate counting process with additive intensity, incorporating covariates and including several projects in one model. Furthermore, we present ways to obtain failure data from the development of open source software. We analyze a dataset from this source and consider several choices of covariates. We are able to observe a different impact of recently added and older source code onto the failure intensity. KEY WORDS: software reliability, open source software, multivariate counting processes, Aalen model, additive risk model, survival analysi
The goal set by software developers is to develop high quality and reliable software products. Durin...
The present study is concerned with developing some statistical models to evaluate and analyze softw...
Over the last 35 years many statistical models have been proposed for the quantitative evaluation of...
History of research on reliability of software began in the early seventies of the last century. A s...
International audienceStructural reliability models suffer from some drawbacks mainly related to the...
This thesis reviews the statistical models commonly applied to software reliability data. A data set...
In the modern software development world, the two universally accepted and followed ways of software...
In this paper, we use two Nonparametric Regression (NPR) methods to predict the growth of software r...
In this paper, we provide a detailed comparison between various models that have been provided in li...
Structural reliability models suffer from some drawbacks mainly related to the assumptions necessary...
modelingm markov software reliability models; comparisons; emerging techniques Software reliability ...
[[abstract]]In this paper, we first describe how several existing software reliability growth models...
International audienceThe penalized likelihood method is used for a new semi-parametric software rel...
Software reliability growth models (SRGMs) based on a nonhomogeneous Poisson process (NHPP) are wide...
Many software reliability growth models have beenanalyzed for measuring the growth of software relia...
The goal set by software developers is to develop high quality and reliable software products. Durin...
The present study is concerned with developing some statistical models to evaluate and analyze softw...
Over the last 35 years many statistical models have been proposed for the quantitative evaluation of...
History of research on reliability of software began in the early seventies of the last century. A s...
International audienceStructural reliability models suffer from some drawbacks mainly related to the...
This thesis reviews the statistical models commonly applied to software reliability data. A data set...
In the modern software development world, the two universally accepted and followed ways of software...
In this paper, we use two Nonparametric Regression (NPR) methods to predict the growth of software r...
In this paper, we provide a detailed comparison between various models that have been provided in li...
Structural reliability models suffer from some drawbacks mainly related to the assumptions necessary...
modelingm markov software reliability models; comparisons; emerging techniques Software reliability ...
[[abstract]]In this paper, we first describe how several existing software reliability growth models...
International audienceThe penalized likelihood method is used for a new semi-parametric software rel...
Software reliability growth models (SRGMs) based on a nonhomogeneous Poisson process (NHPP) are wide...
Many software reliability growth models have beenanalyzed for measuring the growth of software relia...
The goal set by software developers is to develop high quality and reliable software products. Durin...
The present study is concerned with developing some statistical models to evaluate and analyze softw...
Over the last 35 years many statistical models have been proposed for the quantitative evaluation of...