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  • 标题:A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model
  • 本地全文:下载
  • 作者:Taku Yanagisawa ; Yoshinobu Tamura ; Adarsh Anand
  • 期刊名称:American Journal of Operations Research
  • 印刷版ISSN:2160-8830
  • 电子版ISSN:2160-8849
  • 出版年度:2022
  • 卷号:12
  • 期号:1
  • 页码:1-10
  • DOI:10.4236/ajor.2022.121001
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要: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.
  • 关键词:Open Source SoftwareFault DataSoftware ReliabilityCox Proportional Hazard-Rate Model
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