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SYSTEM AND METHOD FOR GROUPING CAUTION GENERATED DURING STATIC ANALYSIS

机译:统计分析过程中生成的小心分组的系统和方法

摘要

PROBLEM TO BE SOLVED: To provide a method and a system for grouping a caution generated during static analysis of an application code.SOLUTION: An analysis module 212 analyzes an application code for generating a caution. An identification module 214 is configured to identify generated similar cautions on the basis of degrees of interest being similar structurally and semantically. As a result, the degrees of interest (EOI) of the similar cautions have the same operators which appear in the same order, and a parameter in the EOI of the similar cautions obtains a value from the same correction point in the application code. A grouping module 216 forms one or two or more groups for the identified similar cautions. A computation module 218 is configured to compute a representative caution from each of the groups. As a result, the representative caution and the other caution are according to a relation of review determinations thereof.
机译:要解决的问题:提供一种用于对在对应用程序代码进行静态分析期间生成的警告进行分组的方法和系统。解决方案:分析模块212分析用于生成警告的应用程序代码。识别模块214被配置为基于在结构和语义上相似的关注程度来识别生成的相似警告。结果,相似警告的兴趣度(EOI)具有相同的运算符,它们以相同的顺序出现,相似警告的EOI中的参数从应用程序代码中的相同校正点获取值。分组模块216形成一个或两个或更多个用于识别出的相似警告的组。计算模块218被配置为从每个组计算代表警告。结果,代表注意事项和其他注意事项是根据其审查确定的关系而进行的。

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