Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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A Study on the Software Reliability Model Analysis Following Exponential Type Life Distribution

지수 형 수명분포를 따르는 소프트웨어 신뢰모형 분석에 관한 연구

  • Received : 2021.05.21
  • Accepted : 2021.08.23
  • Published : 2021.08.30
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Abstract

In this paper, I was applied the life distribution following linear failure rate distribution, Lindley distribution and Burr-Hatke exponential distribution extensively used in the arena of software reliability and were associated the reliability possessions of the software using the nonhomogeneous Poisson process with finite failure. Furthermore, the average value functions of the life distribution are non-increasing form. Case of the linear failure rate distribution (exponential distribution) than other models, the smaller the estimated value estimation error in comparison with the true value. In terms of accuracy, since Burr-Hatke exponential distribution and exponential distribution model in the linear failure rate distribution have small mean square error values, Burr-Hatke exponential distribution and exponential distribution models were stared as the well-organized model. Also, the linear failure rate distribution (exponential distribution) and Burr-Hatke exponential distribution model, which can be viewed as an effectual model in terms of goodness-of-fit because the larger assessed value of the coefficient of determination than other models. Through this study, software workers can use the design of mean square error, mean value function as a elementary recommendation for discovering software failures.

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References

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