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A study of software reliability models choice based on bidirectional learning fuzzy neural network

机译:基于双向学习模糊神经网络的软件可靠性模型选择研究

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The calculation of software reliability is chiefly dependent on choice of software reliability models (SRMs) and the ways of software reliability computation is not invariable through software life cycle as well. In this paper, a multi-variables two-way learning fuzzy neural network is presented, by which the problem of comparison and choice of SRMs could be solved effectively and the system reliability factors could be decided as early as possible.
机译:软件可靠性的计算主要取决于软件可靠性模型(SRM)的选择,并且软件可靠性计算的方式在整个软件生命周期中也不是不变的。本文提出了一种多变量双向学习模糊神经网络,可以有效解决SRM的比较和选择问题,并尽早确定系统可靠性因素。

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