Journal of Integrative Natural Science (통합자연과학논문집)

The Basic Science Institute Chosun University (조선대학교 기초과학연구원)
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Parameter Estimation and Comparison for SRGMs and ARIMA Model in Software Failure Data

  • Song, Kwang Yoon (Department of Computer Science and Statistics, Chosun University) ;
  • Chang, In Hong (Department of Computer Science and Statistics, Chosun University) ;
  • Lee, Dong Su (Department of Computer Science and Statistics, Chosun University)
  • Received : 2014.08.12
  • Accepted : 2014.09.25
  • Published : 2014.09.30
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Abstract

As the requirement on the quality of the system has increased, the reliability is very important part in terms of enhance stability and to provide high quality services to customers. Many statistical models have been developed in the past years for the estimation of software reliability. We consider the functions for NHPP software reliability model and time series model in software failure data. We estimate parameters for the proposed models from three data sets. The values of SSE and MSE is presented from three data sets. We compare the predicted number of faults with the actual three data sets using the NHPP software reliability model and time series model.

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References

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