Reliability Assessment of Legacy Safety-Critical
Systems Upgraded with Off-the-Shelf Components
"Reliability Assessment of Legacy Safety-Critical Systems Upgraded with Off-the-Shelf
Components" by Peter Popov will appear in the Proc. SAFECOMP 2002,
Catania, Italy, publushed by Springer, in
the Lecture Notes in Computer Science Series. The paper abstract is given
below. The full text is available for download as a .pdf
file.
Abstract
Reliability assessment of upgraded legacy systems is an important problem in many
safety-related industries. Some parts of the equipment used in the original design
of such systems are either not available off-the-shelf (OTS) or have become extremely
expensive as a result of being discontinued as mass production components. Maintaining
a legacy system, therefore, demands using different OTS components. Trustworthy
reliability assurance after an upgrade with a new OTS component is needed which
combines the evidence about the reliability of the new OTS component with the
knowledge about the old system accumulated to date. In these circumstances Bayesian
approach to reliability assessment is invaluable. Earlier studies have used Bayesian
inference under simplifying assumptions. Here we study the effect of these on
the accuracy of predictions and discuss the problems, some of them open for future
research, of using Bayesian inference for practical reliability assessment.
Page maintained by: Peter Popov
Last modified: 3 July 2002