This paper considers a series system of p softwares where the failure of a software follows a modified Jelinski-Moranda model. In this model, the debugging scheme of a software is imperfect in the sense that the number of bugs introduced to the software that caused system failure is a random variable. Moreover, tasks are assigned to the system with the task completion times assumed to be random. The main interest is to estimate the parameters that describe the failure process of each software as well as the system reliability. Finally, the finite-sample properties of these estimators are investigated via a simulation
In this paper, an approach to the modeling of software testing is described. A major aim of this app...
This paper presents a general testing coverage software reliability modeling framework that covers i...
Most Software Reliability Growth Models (SRGMs) based on the Nonhomogeneous Poisson Process (NHPP) g...
[[abstract]]In the past decade, several rate-based simulation approaches were proposed to predict so...
This paper will introduce a non-homogeneous Markov model that allows for the possibility of a finite...
AbstractSoftware reliability testing is concerned with the quantitative relationship between softwar...
[[abstract]]Software reliability is often defined as the probability of failure-free software operat...
[[abstract]]Practical experiences indicate that imperfect debugging actually exists in software deve...
This chapter provides a discussion of a fuzzy set approach which is used to extend the notion of sof...
In this study, we focus on the incomplete software testing environment in software development proce...
Maximum likelihood estimation procedures for the Jelinski-Moranda software reliability model often g...
AbstractIn this paper, we propose a software availability model considering the number of restoratio...
<div><p>Software bug-databases provide an important source of data for assessing the reliability of ...
[[abstract]]Software typically undergoes debugging during both a testing phase before product releas...
Abstract — In literature we have several software reliability growth models developed to monitor the...
In this paper, an approach to the modeling of software testing is described. A major aim of this app...
This paper presents a general testing coverage software reliability modeling framework that covers i...
Most Software Reliability Growth Models (SRGMs) based on the Nonhomogeneous Poisson Process (NHPP) g...
[[abstract]]In the past decade, several rate-based simulation approaches were proposed to predict so...
This paper will introduce a non-homogeneous Markov model that allows for the possibility of a finite...
AbstractSoftware reliability testing is concerned with the quantitative relationship between softwar...
[[abstract]]Software reliability is often defined as the probability of failure-free software operat...
[[abstract]]Practical experiences indicate that imperfect debugging actually exists in software deve...
This chapter provides a discussion of a fuzzy set approach which is used to extend the notion of sof...
In this study, we focus on the incomplete software testing environment in software development proce...
Maximum likelihood estimation procedures for the Jelinski-Moranda software reliability model often g...
AbstractIn this paper, we propose a software availability model considering the number of restoratio...
<div><p>Software bug-databases provide an important source of data for assessing the reliability of ...
[[abstract]]Software typically undergoes debugging during both a testing phase before product releas...
Abstract — In literature we have several software reliability growth models developed to monitor the...
In this paper, an approach to the modeling of software testing is described. A major aim of this app...
This paper presents a general testing coverage software reliability modeling framework that covers i...
Most Software Reliability Growth Models (SRGMs) based on the Nonhomogeneous Poisson Process (NHPP) g...