The optimization method of Markov chain usage model based on three-parameter interval number

Yang Zhao
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Abstract

In software reliability testing based on Markov chain usage model, how to assign the migrating probability between states of the Markov chain usage model is still a problem yet to be solved. In order to deal with the problems such as the sample data for estimating the migrating probability being small and uncertain, a migrating probability assignment method based on a three-parameter interval number is proposed to build the Markov chain usage model. The method for generating test cases is also given. An example shows in this paper, the software usage model based on the three-parameter interval number is closer to the actual situation, and the software reliability testing efficiency is improved.
基于三参数区间数的马尔可夫链使用模型的优化方法
在基于马尔可夫链使用模型的软件可靠性测试中,如何分配马尔可夫链使用模型状态间迁移概率是一个有待解决的问题。针对估计迁移概率的样本数据偏小、不确定等问题,提出了一种基于三参数区间数的迁移概率分配方法来构建马尔可夫链使用模型。给出了生成测试用例的方法。实例表明,基于三参数区间数的软件使用模型更接近实际情况,提高了软件可靠性测试效率。
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