Probability-Based Models for the Failures during Burn-In Phase.
Abstract
Two models which were developed to describe the software error detection process have applicability to the burn-in phase of hardware failure; the failure rate for the 'next' error is either proportional to the current number of remnant errors (de-eutrophication model) or decreases to a value which stands in a fixed ratio to its prior value (geometric de-eutrophication model). Estimates of the mean time to failure and the degree of completeness of testing are made on the observed time separations by maximum likelihood. The results of a study on the variances and efficiencies and robustness of the two models are presented.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1975
- Accession Number
- ADA020706
Entities
People
- Paul B. Moranda