In this paper we subject to scrutiny some recent advances in conservative reliability assessment of 2-channel fault-tolerant software, based on the probability of perfection of one of the channels. Our approach extends the previous works by looking in detail at the implications of the assumptions made in these previous works about the relationships between the probability of failure of the channels and of the system, which have not been explored before. We demonstrate that the assumptions made by others impose significant constraints on the epistemic uncertainty of the probability of system failure and explore the implications of these constraints to derive new conservative bounds. An important difference of this work from the prior works ...
This paper affirms that quantification of life-critical software reliability is infeasible using sta...
Abstract—This paper is concerned with the development of reliable real-time systems for use in high ...
When assessing a software-based system, the results of Bayesian statistical inference on operational...
We begin by briefly discussing the reasons why claims of probability of non-perfection (pnp) may som...
Our earlier work proposed ways of overcoming some of the difficulties of lack of independence in rel...
This paper considers the problem of reasoning about the reliability of fault-tolerant systems with t...
We consider the problem of assessing the reliability of a 1-out-of-2 software-based system, in which...
We consider the problem of assessing the reliability of a 1-out-of-2 software-based system, in which...
In earlier work, (Littlewood and Rushby 2012) (henceforth LR), an analysis was presented of a 1-out-...
Abstract—In recent work, we have argued for a formal treatment of confidence about the claims made i...
Many software development practices aim at ensuring that software is correct, or fault-free. In safe...
The probability of perfection becomes of interest as the realization of its role in the reliability ...
In recent years we have become interested in the problem of assessing the probability of perfection ...
This paper presents Bayesian techniques for conservative claims about software reliability, particul...
The standard approach to deriving the confidence bound for the probability of failure on demand (pfd...
This paper affirms that quantification of life-critical software reliability is infeasible using sta...
Abstract—This paper is concerned with the development of reliable real-time systems for use in high ...
When assessing a software-based system, the results of Bayesian statistical inference on operational...
We begin by briefly discussing the reasons why claims of probability of non-perfection (pnp) may som...
Our earlier work proposed ways of overcoming some of the difficulties of lack of independence in rel...
This paper considers the problem of reasoning about the reliability of fault-tolerant systems with t...
We consider the problem of assessing the reliability of a 1-out-of-2 software-based system, in which...
We consider the problem of assessing the reliability of a 1-out-of-2 software-based system, in which...
In earlier work, (Littlewood and Rushby 2012) (henceforth LR), an analysis was presented of a 1-out-...
Abstract—In recent work, we have argued for a formal treatment of confidence about the claims made i...
Many software development practices aim at ensuring that software is correct, or fault-free. In safe...
The probability of perfection becomes of interest as the realization of its role in the reliability ...
In recent years we have become interested in the problem of assessing the probability of perfection ...
This paper presents Bayesian techniques for conservative claims about software reliability, particul...
The standard approach to deriving the confidence bound for the probability of failure on demand (pfd...
This paper affirms that quantification of life-critical software reliability is infeasible using sta...
Abstract—This paper is concerned with the development of reliable real-time systems for use in high ...
When assessing a software-based system, the results of Bayesian statistical inference on operational...