Bounds on signature analysis aliasing for random testing

N. Saxena, P. Franco, E. McCluskey
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引用次数: 8

Abstract

Simple bounds on the aliasing probability for serial signature analysis are presented. To motivate the study, it is shown that calculation of exact aliasing is NP-hard and that coding theory does not necessarily help. It is shown that the aliasing probability is bounded above by 2/(L+2) for test lengths L less than the period, L/sub c/, of the signature polynomials; for test lengths L that are multiples of L/sub c/, the aliasing probability is bounded above by 1; and, for test lengths L greater than L/sub c/ and not a multiple of L/sub c/, the aliasing probability is bounded above by 2/(L/sub c/+1). These simple bounds avoid any exponential complexity associated with the exact computation of the aliasing probability. Simple bounds also apply to signature analysis based on any linear finite state machine (including linear cellular automata).<>
随机测试中特征分析混叠的边界
给出了用于序列签名分析的混叠概率的简单界限。为了激励研究,表明精确混叠的计算是np困难的,编码理论不一定有帮助。结果表明,当测试长度L小于特征多项式的周期L/下标c/时,混叠概率的上界为2/(L+2);对于测试长度L为L/sub c/的倍数,混叠概率上界为1;对于测试长度L大于L/下标c/且不是L/下标c/的倍数,混叠概率上界为2/(L/下标c/+1)。这些简单的边界避免了与混叠概率的精确计算相关的任何指数复杂性。简单的边界也适用于基于任何线性有限状态机(包括线性元胞自动机)的签名分析
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