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A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model

Taku Yanagisawa, Yoshinobu Tamura, Adarsh Anand, Shigeru Yamada

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.
Keywords: Open Source Software / Fault Data / Software Reliability / Cox Proportional Hazard-Rate Model

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