A Study on Software Reliability Model Considering Fault Content Function and Decreasing Shaped Fault Detection Rate  
Author

Kwang Yoon Song

 

Co-Author(s)

Onon-Ujin Otgonbayar;  Youn Su Kim; In Hong Chang

 

Abstract Software reliability modeling is essential for predicting software failure behavior and aiding in decisions regarding release timing. This study introduces a new NHPP-based SRM that is based on a differential equation framework. Unlike the classical NHPP SRMs that assume a constant fault content or a fixed detection structure, the new model integrates a time-dependent fault content function and a fault detection rate derived from a Pareto type II distribution. To assess the proposed model, we performed a comparative analysis with existing NHPP SRMs using actual failure data. The performance of the models was assessed using five evaluation criteria. The findings indicate that the proposed model either surpasses or is on par with existing models across most criteria.

 

Keywords NHPP, software reliability model, fault content function, fault detection rate
   
    Article #:  RQD2026-227
 

Proceedings of 31st ISSAT International Conference on Reliability & Quality in Design
August 5-7, 2026