%0 Journal Article
%T A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model
%A Taku Yanagisawa
%A Yoshinobu Tamura
%A Adarsh Anand
%A Shigeru Yamada
%J American Journal of Operations Research
%P 1-10
%@ 2160-8849
%D 2022
%I Scientific Research Publishing
%R 10.4236/ajor.2022.121001
%X 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.
%K Open Source Software
%K Fault Data
%K Software Reliability
%K Cox Proportional Hazard-Rate Model
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=114427