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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Pizza, M. Strigini, L. Bondavalli, A. Di Giandomenico, F. | 
| Copyright Year | 1998 | 
| Description | Author affiliation: Centre for Software Reliability, City Univ., London, UK (Pizza, M.) | 
| Abstract | An important practical problem in fault diagnosis is discriminating between permanent faults and transient faults. In many computer systems, the majority of errors are due to transient faults. Many heuristic methods have been used for discriminating between transient and permanent faults; however, we have found no previous work stating this decision problem in clear probabilistic terms. We present an optimal procedure for discriminating between transient and permanent faults, based on applying Bayesian inference to the observed events (correct and erroneous results). We describe how the assessed probability that a module is permanently faulty must vary with observed symptoms. We describe and demonstrate our proposed method on a simple application problem, building the appropriate equations and showing numerical examples. The method can be implemented as a run-time diagnosis algorithm at little computational cost; it can also be used to evaluate any heuristic diagnostic procedure by comparison. | 
| Starting Page | 214 | 
| Ending Page | 223 | 
| File Size | 64678 | 
| Page Count | 10 | 
| File Format | |
| ISBN | 0818692219 | 
| DOI | 10.1109/HASE.1998.731615 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 1998-11-13 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Fault diagnosis Computer errors Fault tolerant systems Costs Testing Bonding Software reliability Bayesian methods Application software Equations | 
| Content Type | Text | 
| Resource Type | Article | 
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