DUA-forensics: a fine-grained dependence analysis and instrumentation framework based on Soot

Raúl A. Santelices, Yiji Zhang, Haipeng Cai, Siyuan Jiang
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引用次数: 19

Abstract

We describe DUA-Forensics, our open-source Java-bytecode program analysis and instrumentation system built on top of Soot. DUA-Forensics has been in development for more than six years and has supported multiple research projects on efficient monitoring, test-suite augmentation, fault localization, symbolic execution, and change-impact analysis. Three core features of Soot have proven essential: the Java bytecode processor, the Jimple intermediate representation, and the API to access and manipulate Jimple programs. On top of these foundations, DUA-Forensics offers a number of features of potential interest to the Java-analysis community, including (1) a layer that facilitates the instrumentation of Jimple code, (2) a library modeling system for efficient points-to, data-flow, and symbolic analysis, and (3) a fine-grained dependence analysis component. These features have made our own research more productive, reliable, and effective.
dua取证:基于Soot的细粒度依赖性分析和检测框架
我们描述了基于Soot的开源java字节码程序分析和仪器系统DUA-Forensics。DUA-Forensics已经开发了6年多,支持了多个关于高效监控、测试套件扩展、故障定位、符号执行和变更影响分析的研究项目。事实证明,Soot的三个核心特性是必不可少的:Java字节码处理器、Jimple中间表示以及访问和操作Jimple程序的API。在这些基础之上,DUA-Forensics提供了许多java分析社区可能感兴趣的特性,包括(1)一个促进Jimple代码插插的层,(2)一个用于高效点、数据流和符号分析的库建模系统,以及(3)一个细粒度依赖性分析组件。这些特点使我们自己的研究更富有成效、更可靠、更有效。
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