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Using a Log-normal Failure Rate Distribution for Worst Case Bound Reliability Prediction

10 years 4 months ago
Using a Log-normal Failure Rate Distribution for Worst Case Bound Reliability Prediction
Prior research has suggested that the failure rates of faults follow a log normal distribution. We propose a specific model where distributions close to a log normal arise naturally from the program structure. The log normal distribution presents a problem when used in reliability growth models as it is not mathematically tractable. However we demonstrate that a worst case bound can be estimated that is less pessimistic than our earlier worst case bound theory.
Peter G. Bishop, Robin E. Bloomfield
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ISSRE
Authors Peter G. Bishop, Robin E. Bloomfield
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