一种用于软件可靠性增长模型参数估计的改进遗传算法

2008 19th International Symposium on Software Reliability Engineering (ISSRE) Pub Date : 2008-11-10 DOI:10.1109/ISSRE.2008.35

Chao-Jung Hsu, Chin-Yu Huang, T. Chen

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引用次数: 9

摘要

本文提出了一种具有校正适应度函数、加权位突变和重构机制的改进遗传算法(MGA)，用于软件可靠性增长模型的参数估计。最后以实际故障数据为例，验证了该方法的有效性。实验结果表明，MGA对SRGM的参数估计是有效的。

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A Modified Genetic Algorithm for Parameter Estimation of Software Reliability Growth Models

In this paper, we propose a modified genetic algorithm (MGA) with calibrating fitness functions, weighted bit mutation, and rebuilding mechanism for the parameter estimation of software reliability growth models (SRGMs). An example using a real failure data is given to demonstrate the performance of proposed method. Experimental result shows that MGA is effective for estimating the parameters of SRGM.

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2008 19th International Symposium on Software Reliability Engineering (ISSRE)

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