2014
DOI: 10.1214/14-aos1228
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Optimum mixed level detecting arrays

Abstract: As a type of search design, a detecting array can be used to generate test suites to identify and detect faults caused by interactions of factors in a component-based system. Recently, the construction and optimality of detecting arrays have been investigated in depth in the case where all the factors are assumed to have the same number of levels. However, for real world applications, it is more desirable to use detecting arrays in which the various factors may have different numbers of levels. This paper give… Show more

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Cited by 11 publications
(2 citation statements)
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“…Specifically, the value of δ represents the maximum number of unreliable test cases that a DA can tolerate without causing incorrect fault localization. Other studies on DAs investigated mathematical properties of DAs, such as the bounds on array size or classes of optimal DAs and the conditions required for their existence [23][24][25].…”
Section: Research On Detecting Arraysmentioning
confidence: 99%
“…Specifically, the value of δ represents the maximum number of unreliable test cases that a DA can tolerate without causing incorrect fault localization. Other studies on DAs investigated mathematical properties of DAs, such as the bounds on array size or classes of optimal DAs and the conditions required for their existence [23][24][25].…”
Section: Research On Detecting Arraysmentioning
confidence: 99%
“…The use of CAs has been around for over 40 years in software and hardware testing applications, as well as data compression, when there is interest in considering interaction‐driven failures among factors (for example, see Shi et al ). For the case when λ = 1 and strength values of t = 2 or 3, for the simplicity of notation, we denote CA λ ( N ; t , k , v ) as CA( N ; t , k , v ), where a covering array CA( N ; t , k , v ) is said to have t ‐way coverage.…”
Section: Introductionmentioning
confidence: 99%