Limitations of current analytic techniques in estimating the reliability of life-critical electronics systems are discussed. A new framework for specification of recovery and fault-handling submodels is suggested, and is shown through several examples to provide substantially improved modeling accuracy and flexibility. Implementation of the new technique in an X-windows based system, XHARP, is also described. The implementation allows for an automated behavioral decomposition of full system models, heretofore unavailable in such tools
Markov models are often used to evaluate dependability attributes of fault-tolerant computer systems...
This paper affirms that the quantification of life-critical software reliability is infeasible using...
AbstractQuality standards impose increasingly stringent requirements and constraints on quality of s...
Research on dependable computing is undergoing a shift from traditional fault tolerance towards tech...
Semi-Markov processes have proved to be an effective and convenient tool to construct models of syst...
Markov and semi-Markov processes are increasingly being used in the modeling of complex reconfigurab...
The reliability mathematical model of a system is the basis of all reliability predictions, optimiza...
A way of considering a small but often used class of reliability model and approximating algebraical...
This paper determines the information required about system recovery to compute the reliability of a...
AbstractMarkov and semi-Markov processes are increasingly being used in the modeling of complex reco...
Reliability estimation of highly reliable components, subsystems and systems has become very difficu...
The current tendency of flight control system designs is towards increased integration of applicatio...
There are two approaches to component lifetime modelling. The first one uses a reliability predictio...
This research proposes novel solution techniques in the realm of reliability and reliability growth....
AbstractSystem reliability is an important aspect of real-time systems, because the result of a real...
Markov models are often used to evaluate dependability attributes of fault-tolerant computer systems...
This paper affirms that the quantification of life-critical software reliability is infeasible using...
AbstractQuality standards impose increasingly stringent requirements and constraints on quality of s...
Research on dependable computing is undergoing a shift from traditional fault tolerance towards tech...
Semi-Markov processes have proved to be an effective and convenient tool to construct models of syst...
Markov and semi-Markov processes are increasingly being used in the modeling of complex reconfigurab...
The reliability mathematical model of a system is the basis of all reliability predictions, optimiza...
A way of considering a small but often used class of reliability model and approximating algebraical...
This paper determines the information required about system recovery to compute the reliability of a...
AbstractMarkov and semi-Markov processes are increasingly being used in the modeling of complex reco...
Reliability estimation of highly reliable components, subsystems and systems has become very difficu...
The current tendency of flight control system designs is towards increased integration of applicatio...
There are two approaches to component lifetime modelling. The first one uses a reliability predictio...
This research proposes novel solution techniques in the realm of reliability and reliability growth....
AbstractSystem reliability is an important aspect of real-time systems, because the result of a real...
Markov models are often used to evaluate dependability attributes of fault-tolerant computer systems...
This paper affirms that the quantification of life-critical software reliability is infeasible using...
AbstractQuality standards impose increasingly stringent requirements and constraints on quality of s...