基于波动结构自动机的软件故障决策树构建方法  

Automata Software Malfunction Decision Tree Building Method Based on the Wave Structur

作　　者：王倩[1] 

机构地区：[1]天津职业大学网络中心,天津300402

出　　处：《科技通报》2013年第12期76-78,共3页Bulletin of Science and Technology

基　　金：天津市教委2013教育信息化战略研究课题(X2013-022)

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。A 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.

关 键 词：波动结构 自动机 软件故障 决策树 加权平均波动度 

分 类 号：TP143[自动化与计算机技术—控制理论与控制工程]