NHPP Software Reliability Model with the Generalized Exponential Fault Detection Rate in the Operating Environments using the Gamma Distribution  
Author Kwang Yoon Song


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


Abstract In the era of the 4th industrial revolution, software is used to implement most of the technologies. Software is becoming a very important factor in the era of the 4th industrial revolution, and software is being used in various places. 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 generalized exponential (GE) fault detection rate function considering the uncertainty of operation environments using the gamma distribution based on a non-homogeneous Poisson process (NHPP), and examine the goodness-of-fit. As a result of comparison of goodness-of-fit, it can be confirmed that the new proposed model is significantly better by showing that all the criteria of the new proposed model are the lowest compared to other models.


Keywords software reliability model, non-homogeneous Poisson process, fault detection rate, gamma distribution
    Article #:  RQD28-151

Proceedings of 28th ISSAT International Conference on Reliability & Quality in Design
August 3-5, 2023