Journal of Integrative Natural Science (통합자연과학논문집)

The Basic Science Institute Chosun University (조선대학교 기초과학연구원)
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Predictions of MLE and LSE in NHPP Software Reliability Model

  • Song, Kwang-Yoon (Department of computer science and statistics, Chosun University) ;
  • Chang, In-Hong (Department of computer science and statistics, Chosun University) ;
  • Lee, Seung-Woo (Department of computer science and statistics, Chosun University)
  • Received : 2013.04.17
  • Accepted : 2013.06.24
  • Published : 2013.06.30
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Abstract

We propose a mean value function for software failures in NHPP software reliability model. And we deal with the maximum likelihood estimation and the least squares estimation in the proposed mean value function. The explicit mean value function solution for the proposed model is presented by MLE and LSE in two data sets. The values of SSE and MSE is presented in two data sets by MLE and LSE. We compare the predicted number of faults with the actual two data sets using the proposed mean value function.

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References

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