使用静态分析的Java异常传播可视化

Byeong-Mo Chang, Jang-Wu Jo, Soon Hee Her
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引用次数: 36

摘要

我们首先提出了一个基于集合框架的静态分析,它估计了Java程序的异常传播路径。从静态分析信息中构造异常传播图,包括异常的来源、异常处理程序和异常的传播路径。我们实现了异常传播分析和一个可视化工具,该工具使用异常传播图可视化异常的传播路径。这种传播信息可以指导程序员检测未捕获的异常,更具体地处理异常,并通过跟踪异常传播将异常处理程序放在适当的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of exception propagation for Java using static analysis
We first present a static analysis based on a set-based framework, which estimates exception propagation paths of Java programs. We construct an exception propagation graph from the static analysis information, which includes the origin of exceptions, handler of exceptions, and propagation paths of exceptions. We have implemented the exception propagation analysis and a visualization tool which visualizes propagation paths of exceptions using the exception propagation graph. This propagation information can guide programmers to detect uncaught exceptions, handle exceptions more specifically, and put exception handlers at appropriate places by tracing exception propagation.
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