用执行路径长度选择改进模糊覆盖

2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW) Pub Date : 2022-10-01 DOI:10.1109/ISSREW55968.2022.00057

Wenxian Zhang, Kazunori Sakamoto, H. Washizaki, Y. Fukazawa

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引用次数: 0

摘要

覆盖引导的模糊测试是最有效的模糊测试类型之一。代码覆盖率是覆盖率引导的模糊测试工具性能评估的一个重要参数，因为通常较高的覆盖率结果意味着较高的故障检测机会。为了扩展所涵盖的整体代码，基于前面的基本块分析，我们提出了一种方法，用于选择能够执行某些特定长度的执行路径的输入突变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improving Fuzzing Coverage with Execution Path Length Selection

Coverage-guided fuzzing is one of the most effective types of fuzz testing. Code coverage is an important parameter of performance evaluation of the coverage-guided fuzzing tools since normally higher coverage result means a higher chance of fault detection. To expand the overall code covered, based on previous basic block analysis, we propose a method for selecting the mutants of inputs that are able to execute some specific length of the execution path.

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2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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