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A Parameter Estimation of Software Reliability Growth Model with Change-Point

변화점을 고려한 소프트웨어 신뢰도 성장모형의 모수추정

  • Published : 2008.10.31

Abstract

The non-homogeneous Poisson process(NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering. The fault detection rate is usually assumed to be the continuous and monotonic function. However, the fault detection rate can be affected by many factors such as the testing strategy, running environment and resource allocation. This paper describes a parameter estimation of software reliability growth model with change-point problem. We obtain the maximum likelihood estimate(MLE) and least square estimate(LSE), and compare goodness-of-fit.

Keywords

Software reliability growth model;NHPP;fault-detection rate;mean value function;change-point problem

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