Prediction of a software reliability model considering the finiteness of software faults

Software is changing into a practical meaning that encompasses a wide range of areas along with the fourth industrial revolution, and since it is used in various industries, software reliability is a very important issue, and the importance of software reliability cannot be overemphasized. It is used to predict software faults and reliability using a software reliability model. The finiteness of software faults, which first grow rapidly and then occur slowly until the maximum number of faults is reached, and the fault detection rate function of the Weibull distribution, which allows flexible estimation of whether the probability of failure increases, decreases, or appears constant over time. were taken into consideration. In this paper, we present a new software reliability model with considering the finiteness of software faults, and examine the goodness-of-fit of the proposed model and other models based on two datasets. The results show that the proposed new model fits significantly better than other models.