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논문검색

Improved Exponential Software Reliability Model Based on NHPP with the Uncertainty of Operating Environments

초록

영어

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.

목차

Abstract
 1. Introduction
 2. New NHPP Software Reliability Model
  2.1. Non-homogeneous Poisson Process
  2.2. New NHPP Software Reliability Model
 3. Numerical Examples
  3.1. Criteria for Model Comparisons
  3.2. Estimation of the Confidence Intervals
  3.3. Data Information
  3.4. Results
 4. Conclusions
 Acknowledgements
 References

저자정보

  • Kwang Yoon Song Department of Computer Science and Statistics, Chosun University, Gwangju, Korea
  • In Hong Chang Department of Computer Science and Statistics, Chosun University, Gwangju, Korea

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