热模糊:通过模糊测试微电子硬件协助验证

Henning Siemen, Jonas Lienke, Georg Gläser
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引用次数: 0

摘要

验证微电子硬件设计的任务对设计过程至关重要,因为它是繁琐的。尽管有许多有用的方法,如约束随机测试,但需要有经验的工程师才能发现隐藏的bug和意外的系统行为。为了测试特定的场景,传统的测试方法以单个测试用例为中心。与完善的模糊测试软件技术类似,我们提出了What-The-Fuzz (WTF),一种基于覆盖引导的基于突变的模糊器,并在示例电路上进行了演示。测试用例以一种自动化的方式生成,通过连续地改变输入刺激,引导它们达到增加的覆盖率。与纯粹的随机测试用例相比,我们避免了绝大多数琐碎的噪声类无效输入,并专注于实际导致被测试设备状态转换的测试用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hot Fuzz: Assisting verification by fuzz testing microelectronic hardware
The task of verifying microelectronic hardware designs is as crucial to the design process as it is tedious. Despite numerous helpful methodologies like constraint random testing, it takes an experienced engineer to find hidden bugs and unintended system behavior. Conventional testing approaches are centered on individual test cases in order to test specific scenarios. Analog to the well-established software technique of fuzz-testing, we present What-The-Fuzz (WTF), a coverage-guided mutation-based fuzzer and demonstrate it on an example circuit. Test cases are generated in an automated fashion by consecutively mutating input stimuli, guiding them to achieve increased coverage. In contrast to purely random test cases, we avoid the vast majority of trivial noise-like invalid inputs and focus on test cases that actually result state transitions of the tested device.
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