A Study on the NHPP Software Reliability Model with the Weibull Fault Detection Rate in the Operating Environments using the Exponential Distribution  
Author Kwang Yoon Song

 
Co-Author(s) In Hong Chang; Hoang Pham

 
Abstract The software systems used in the field environments are the same as or close to those used in the development-testing environment; base on this, existing software reliability models are applied to software testing data and then used to make predictions on the software failures and reliability in the field. However, the systems may be used in many different locations. In this paper, we present a new model with consideration for the fault detection rate of the Weibull function in operating environments using the Exponential distribution, and examine the goodness-of-fit of the proposed new model and other models based on two datasets. The results show that the proposed new model fits significantly better than other models.

 
Keywords software reliability model, non-homogeneous Poisson process, software failure, fault detection rate, differential equation, exponential distribution
   
    Article #:  RQD25-157
 
Proceedings of 25th ISSAT International Conference on Reliability & Quality in Design
August 1-3, 2019 - Las Vegas, NV, U.S.A.