SOFTWARE RELIABLITY USING MARKOV CHAIN USAGE MODEL
Md. Shazzad Hosain, Md. Shamsul Alam · 2004
The work described in this paper is an investigation of applying Markov chain techniques to measure software reliability. An example is taken from database based application software to develop two stochastic models called usage model and testing model for the software. The log likelihood ratio i.e. D (U, T) of two stochastic processes tells us how similar these processes are. This information is used to determine reliability of the example software. The results prove the viability and effectiveness of the approach to measure software reliability for large and complicated systems.