抽样对动态分析的潜力

J. Greathouse, T. Austin
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引用次数: 2

摘要

本文提出了向大量用户分发动态软件分析的观点,以便找到导致安全缺陷的错误。我们回顾了一组动态分析系统,并表明,尽管研究界付出了巨大的努力,但它们的性能仍然太低,无法在该领域使用。然后,我们表明,有有效的抽样机制,以加速范围广泛的强大的动态分析。这些机制降低了单个分析观察到错误的比率,但是这种损失可以通过随后测试群体的增加来抵消。然而,要使该技术得到广泛应用,在这一领域仍有一些尚未解决的问题值得注意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The potential of sampling for dynamic analysis
This paper presents an argument for distributing dynamic software analyses to large populations of users in order to locate bugs that cause security flaws. We review a collection of dynamic analysis systems and show that, despite a great deal of effort from the research community, their performance is still too low to allow their use in the field. We then show that there are effective sampling mechanisms for accelerating a wide range of powerful dynamic analyses. These mechanisms reduce the rate at which errors are observed by individual analyses, but this loss can be offset by the subsequent increase in test population. Nevertheless, there are unsolved issues in this domain that deserve attention if this technique is to be widely utilized.
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