Coverage, Location, Detection, and Measurement

C. Colbourn, V. Syrotiuk
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引用次数: 20

Abstract

Complex engineered systems arise throughout computing, communications, and networking. Many factors, each having a finite number of levels, impact the behaviour of the system either singly or in interaction with one another. Testing or evaluating such a system involves formulating a set of tests, when executed, responses or outcomes from the tests are analyzed. A single round of testing is conducted. To witness the effect of an interaction, some test must cover it, this does not suffice in general to locate the interaction or to measure its effect. When there are few factors or many tests, experimental designs can measure (and hence locate) the interactions. When there are many factors and few tests, can we locate the interaction(s)? Can we efficiently detect them?Combinatorial arrays, locating and detecting arrays, are introduced to address such location and detection in the context of combinatorial testing. Locating and detecting arrays are contrasted with covering arrays and with experimental designs. An application to a 75 factor protocol stack for file transfer is given to demonstrate their practical use. Finally, their place in the literature of combinatorial testing is discussed and some directions are outlined.
覆盖范围、位置、检测和测量
复杂的工程系统贯穿于计算、通信和网络。许多因素,每一个都有有限数量的水平,影响系统的行为或单独或相互作用。测试或评估这样一个系统涉及制定一套测试,当执行时,测试的反应或结果被分析。进行一轮测试。为了见证交互作用的效果,一些测试必须覆盖它,这通常不足以定位交互作用或测量其效果。当因素少或测试多时,实验设计可以测量(并因此定位)相互作用。当有很多因素和很少的测试时,我们能找到相互作用吗?我们能有效地探测到它们吗?为了解决组合测试中的定位和检测问题,引入了组合阵列,即定位和检测阵列。定位和探测阵列与覆盖阵列和实验设计进行了对比。本文给出了一个用于文件传输的75因子协议栈的应用程序来演示它们的实际应用。最后,讨论了它们在组合检验文献中的地位,并提出了一些发展方向。
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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