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A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model
Tokyo City University, Tokyo, Japan
Yamaguchi University, Yamaguchi, Japan
University of Delhi, Delhi, India
Tottori University, Tottori, Japan
- 1 Tokyo City University, Tokyo, Japan
- 2 Yamaguchi University, Yamaguchi, Japan
- 3 University of Delhi, Delhi, India
- 4 Tottori University, Tottori, Japan
American Journal of Operations Research·Volume 12 (2022)·Pages 1–10·Published 5 January 2022·DOI10.4236/ajor.2022.121001
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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 Consider ing 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 pro posed model. As the result, we compare the performance of our model with the Hazard-Rate Model CFSL.
KeywordsOpen Source SoftwareFault DataSoftware ReliabilityCox Proportional Hazard-Rate Model
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