통합자연과학논문집 (Journal of Integrative Natural Science)

조선대학교 기초과학연구원 (The Basic Science Institute Chosun University)
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Improved Exponential Software Reliability Model Based on NHPP with the Uncertainty of Operating Environments

  • Song, Kwang Yoon (Department of Computer Science and Statistics, Chosun University) ;
  • Chang, In Hong (Department of Computer Science and Statistics, Chosun University)
  • 투고 : 2017.11.28
  • 심사 : 2017.12.25
  • 발행 : 2017.12.30
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초록

The main focus when developing software is to improve the reliability and stability of a software system. We are enjoying a very comfortable life thanks to modern civilization, however, comfort is not guaranteed to us. Once software systems are introduced, the software systems used in the field environments are the same as or close to those used in the development-testing environment; however, the systems may be used in many different locations. Development of software system is a difficult and complex process. Generally, existing software reliability models are applied to software testing data and then used to make predictions on the software failures and reliability in the field. In this paper, we present an improved exponential NHPP software reliability model in different development environments, and examine the goodness-of-fit of improved exponential model and other model based on two datasets. The results show that the proposed model fits significantly better than other NHPP software reliability model.

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참고문헌

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