SOFTWARE RELIABILITY GROWTH MODELING WITH DISCRETE WEIBULL SOFTWARE FAILURE-OCCURRENCE TIMES DISTRIBUTION

摘要

In this paper we discuss generalized discrete software reliability growth modeling in which a software failure-occurrence times distribution follows a discrete Weibull distribution, and also discuss its parameter estimation. Discrete software reliability growth models have been proposed so far to describe a software reliability growth process depending on discrete testing-time such as the number of testing days and the number of executed test-cases. However, it is known that flexible discrete software reliability growth modeling is difficult due to the mathematical manipulation. Our discrete software reliability growth model can describe several types of software failure-occurrence phenomena flexibly. Additionally, we derive software reliability assessment measures based on our model, and show numerical examples by using actual fault counting-data.