A Software reliability model with a fault detection rate function of the generalized exponential distribution
Kwang Yoon Song, In Hong Chang · Journal of the Korean Data and Information Science Society · 2020
The software reliability model is modeled on the basis of the number of software failures and the interval time between failures, and predicts how failures will occur in the future by estimating reliability evaluation measures such as failure interval time, software reliability and failure rate, In general, software systems are known to degrade performance and increase failure rate as their service life increases. Therefore, efforts have been made to expand the exponential distribution assuming a constant failure rate. In this paper, we propose a new software reliability model with a fault detection rate function of the generalized exponential distribution based on a non-homogeneous Poisson process (NHPP). We examine the goodness-of-fit of a new NHPP software reliability model and other existing models based on two data sets. The comparative results for the goodness-of-fit show that the proposed model does significantly better than the existing models.