【摘要】 提出了一种基于波动结构自动机的软件故障决策树构建方法,分析波动结构的自动机模型,采用加权平均波动度衡量这种波动性,进而构建软件故障的决策树,对自动机的波动结构进行全面地分析,获取自动机软件故障的位置,通过故障决策树定义故障原因。实验结果说明,该种方法能够有效定位波动结构自动机的软件故障,具有较高的软件故障检测效率和精度,取得了令人满意的效果。更多还原

【Abstract】 This paper proposes a software based on the wave structure automaton fault decision tree building method,analysis of fluctuation of the structure of the automata model,using the weighted average volatility measures the volatility,and thus to build software fault decision tree,volatility structure to conduct a comprehensive analysis of the automaton,obtaining automaton software fault location,through the fault decision tree to define the cause of the problem.Experimental results show that this method can effectively locate volatility structure automaton software failures,software fault detection has higher efficiency and precision,satisfactory results have been achieved.更多还原