基于数据拓扑图的变量影响分析方法

为了解决软件中数据变量发生异常的问题，以及找到该异常变量在整个程序中与其余变量之间的关系和该变量的影响范围，提出了一种基于数据拓扑图的数据影响分析方法。研究了静态分析提取变量的依赖关系包括顺序依赖、自身依赖、节点依赖和函数依赖，得到变量的依赖影响集合，生成变量的数据拓扑图。实验结果表明，该方法能全面覆盖程序中的变量并准确地生成指定变量的数据拓扑图，且数据拓扑图能够发现异常变量在程序中影响了哪些变量，哪些变量被异常变量影响。

Data Impact Analysis Method Based on Data Topology Graph

In order to solve the problem of abnormality of data variables in software, and to find the relationship between the abnormal variables in the whole program and the remaining variables and the influence range of the variables, the data impact analysis method based on data topology graph was proposed. The dependence of static analysis on extracting variables was studied, including order dependence, self dependency, node dependence and function dependence. The dependent influence set of variables was obtained, and the data topology graph of the variables was generated. The experimental results show that the method can completely cover the variables in the program and accurately generate the data topology graph of the specified variables, and the data topology graph can find out which variables are affected by the abnormal variables in the program, and which variables are affected by the abnormal variables.