Title from PDF of title page, viewed on March 31, 2014Dissertation advisor: Kamel RakabVitaIncludes bibliographical references (pages 77-81)Thesis (Ph. D.)--Dept. of Mathematics and Statistics and Dept. of Computer Science and Electrical Engineering. University of Missouri, Kansas City, 2013Presented here is a Bayesian approach to test case allocation in the software reliability estimation. Bayesian analysis allows us to update our beliefs about the reliability of a particular partition as we test, and thus, dynamically re refine our allocation of test cases during the reliability testing process. We started with a fully sequential sampling scheme to estimate the reliability of a software system using partition testing. We have shown both ...
Predicting the reliability of software systems based on a component-based approach is inherently dif...
Computers & Operations Research, 35 (10),2007, pp.3161-3183In this paper we analyze the application ...
AbstractThis paper presents Bayesian techniques for conservative claims about software reliability, ...
Includes bibliographical references (p. [12]-[13]).Supported by AFOSR. AFOSR-890371by Gordon M. Kauf...
In this research two problems related to system reliability are addressed: the first is commonly ref...
The Gibbs sampling approach is developed for Bayesian inferences and predictions in software reliabi...
Increased dependence on software systems elicited the assessment of their reliability, a crucial tas...
Mutation analysis is a well-studied method of measuring test-case adequacy. Mutation analysis involv...
Computer simulation is an appealing approach for the reliability analysis of structure-based softwar...
The goal of this research was to recast the issues raised in Probability Models for Sequential-Stag...
A novel method for estimation of rare event probability is proposed, which works also for computatio...
In both hardware and software engineering, the reliability of systems improve over the Test, Analyse...
In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are draw...
International audienceThis paper deals with the problem of estimating the probability of failure of ...
Predicting the reliability of software systems based on a component-based approach is inherently dif...
Predicting the reliability of software systems based on a component-based approach is inherently dif...
Computers & Operations Research, 35 (10),2007, pp.3161-3183In this paper we analyze the application ...
AbstractThis paper presents Bayesian techniques for conservative claims about software reliability, ...
Includes bibliographical references (p. [12]-[13]).Supported by AFOSR. AFOSR-890371by Gordon M. Kauf...
In this research two problems related to system reliability are addressed: the first is commonly ref...
The Gibbs sampling approach is developed for Bayesian inferences and predictions in software reliabi...
Increased dependence on software systems elicited the assessment of their reliability, a crucial tas...
Mutation analysis is a well-studied method of measuring test-case adequacy. Mutation analysis involv...
Computer simulation is an appealing approach for the reliability analysis of structure-based softwar...
The goal of this research was to recast the issues raised in Probability Models for Sequential-Stag...
A novel method for estimation of rare event probability is proposed, which works also for computatio...
In both hardware and software engineering, the reliability of systems improve over the Test, Analyse...
In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are draw...
International audienceThis paper deals with the problem of estimating the probability of failure of ...
Predicting the reliability of software systems based on a component-based approach is inherently dif...
Predicting the reliability of software systems based on a component-based approach is inherently dif...
Computers & Operations Research, 35 (10),2007, pp.3161-3183In this paper we analyze the application ...
AbstractThis paper presents Bayesian techniques for conservative claims about software reliability, ...