Abstract
Markov chains have been used successfully to model system use, generate tests, and compute statistics about anticipated system use in the field. Several reliability models are in use for Markov chain-based testing, but each has certain limitations. A Bayesian reliability model that is gaining support in field use is presented here.
Original language | English |
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Pages (from-to) | 219-225 |
Number of pages | 7 |
Journal | Journal of Systems and Software |
Volume | 73 |
Issue number | 2 |
DOIs | |
State | Published - Oct 2004 |
Externally published | Yes |
Keywords
- Markov chain usage models
- Reliability estimation
- Statistical testing
- System reliability