%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