TITLE:
A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model
AUTHORS:
Taku Yanagisawa, Yoshinobu Tamura, Adarsh Anand, Shigeru Yamada
KEYWORDS:
Open Source Software, Fault Data, Software Reliability, Cox Proportional Hazard-Rate Model
JOURNAL NAME:
American Journal of Operations Research,
Vol.12 No.1,
January
5,
2022
ABSTRACT: The software
reliability model is the stochastic model to measure the software reliability quantitatively. A Hazard-Rate Model is the well-known one as the typical software reliability model. We propose Hazard-Rate
Models Considering Fault Severity Levels (CFSL)
for Open Source Software (OSS). The purpose of this research is to make the Hazard-Rate Model considering CFSL adapt to baseline
hazard function and 2 kinds of faults data in Bug Tracking System (BTS), i.e., we
use the covariate vectors in Cox proportional Hazard-Rate Model. Also, we show the numerical
examples by evaluating the performance of our proposed model. As the result, we compare the performance of our model with
the Hazard-Rate Model CFSL.