Early prediction of software component reliability
Proceedings of the 30th international conference on Software engineering
Markov Chains and Stochastic Stability
Markov Chains and Stochastic Stability
Architecture-based software reliability modeling
Journal of Systems and Software
A Bayesian model for predicting reliability of software systems at the architectural level
QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
Availability Modeling and Cost Optimization for the Grid Resource Management System
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Experience report: trading dependability, performance, and security through temporal decoupling
Proceedings of the 11th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Computers & Mathematics with Applications
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Availability and reliability are important attributes of dependability. Many dependability analysis methodologies measure and predict availability and reliability separately. However, those methodologies cannot reflect real system characteristics since availability and reliability are interdependent and occur simultaneously. We propose a performability analysis method which regards availability and reliability at the same time. The proposed performability analysis method contains discrete time Markov Chain modeling and its analysis.