Markov chain testing models for "sequential-stage system reliability growth via failure mode removal"

Author

Michael W. Corum

Date of Award

5-2003

Degree Type

Thesis

Degree Name

Master of Science

Major

Computer Science

Major Professor

Jesse Poore

Abstract

The goal of this research was to recast the issues raised in "Probability Models for Sequential-Stage System Reliability Growth via Failure Mode Removal" by Gaver, et. al. [I] into Markov chain models as treated by the Software Quality Research Laboratory (SQRL). Solutions given by Gaver were studied and Markov chain testing models were proposed as alternative solutions, providing more questions and answers that are relevant to the testing of sequential-stage systems. Reformulation of the questions yielded solutions in the form of familiar statistics of the Markov chain.

Recommended Citation

Corum, Michael W., "Markov chain testing models for "sequential-stage system reliability growth via failure mode removal". " Master's Thesis, University of Tennessee, 2003.
https://trace.tennessee.edu/utk_gradthes/5203