Androlic: an extensible flow, context, object, field, and path-sensitive static analysis framework for Android

Linjie Pan, Baoquan Cui, Jiwei Yan, Xutong Ma, Jun Yan, Jian Zhang
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引用次数: 7

Abstract

Static analysis is widely used to detect potential defects in apps. Existing analysis tools focus on specific problems and vary in supported sensitivity, which make them difficult to reuse and extend for new analysis tasks. This paper presents Androlic, a precise static analysis framework for Android which is flow, context, object, field and path-sensitive. Through configuration items and APIs provided by Androlic, developers can easily extend it to perform custom analysis tasks. Evaluation on an example program and 20 real-world apps show that Androlic can analyze apps with high precision and efficiency.
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Android:一个可扩展的流、上下文、对象、字段和路径敏感的静态分析框架
静态分析被广泛用于检测应用程序中的潜在缺陷。现有的分析工具专注于特定的问题,并且在支持的灵敏度上有所不同,这使得它们难以重用和扩展到新的分析任务。本文介绍了Android的精确静态分析框架Androlic,它具有流程、上下文、对象、字段和路径敏感。通过配置项和Androlic提供的api,开发人员可以很容易地扩展它来执行自定义的分析任务。对一个示例程序和20个实际应用程序的评估表明,Androlic可以高精度、高效地分析应用程序。
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