A Study on Software Reliability Models Considering the Delayed S-Shaped Fault Detection Rates  
Author Youn Su Kim

 

Co-Author(s) Kwang Yoon Song;  In Hong Chang

 

Abstract Software reliability is very important because software is such a large part of our lives that software failures can cause major society and the economy. To improve software reliability, software reliability models have been developed in the past that include many assumptions such as independent and dependent failure, and operating environment uncertainty. In this study, we propose a new type of NHPP software reliability model that is not a differential equation with various assumptions in the past. It is a model that considers an initial explosion of failures followed by a slow development of a finite number of failures and defects until the maximum number of failures is reached. We demonstrated the superiority of the model by comparing it with eight traditional NHPP software reliability models using five criteria, and also checked the trend with the actual values and the estimated values of all the models, and found that the proposed model is superior.

 

Keywords Software Reliability, NHPP software reliability model, finiteness of faults
   
    Article #:  RQD2025-12
 

Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design
August 6-8, 2025