Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7060
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dc.contributor.authorAKHTAR, YASMEENen_US
dc.contributor.authorMAITY, SOUMENen_US
dc.contributor.authorCHANDRASEKHARAN, RESHMA C.en_US
dc.date.accessioned2022-06-13T04:41:15Z-
dc.date.available2022-06-13T04:41:15Z-
dc.date.issued2015-06en_US
dc.identifier.citationMathematics and Computing, 391–398.en_US
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-81-322-2452-5_26en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7060-
dc.description.abstractA covering array t− CA (n,k,g), of size n, strength t, degree k, and order g, is a k×n array on g symbols such that every t×n subarray contains every t×1 column on g symbols at least once. Covering arrays have been studied for their applications on software testing, hardware testing, drug screening, and in areas where interactions of multiple parameters are to be tested. We define the coverage measure μt(A) of an array A by the ratio between the number of distinct t-tuples contained in the column vectors of A and the total number of t-tuples given by (kt)gt. Given fixed values of t, k, g, and n, our objective is to construct an array A of size atmost n having largest possible coverage measure. This problem is called covering arrays with budget constrains. In this article, we present an algebraic construction method for strength four covering arrays with budget constraints.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectCovering arraysen_US
dc.subjectCombinatoricsen_US
dc.subjectGroup actionen_US
dc.subjectSoftware testingen_US
dc.titleCovering Arrays of Strength Four and Software Testingen_US
dc.typeBook chapteren_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.title.bookMathematics and Computingen_US
dc.identifier.doiDNAen_US
dc.identifier.sourcetitleMathematics and Computingen_US
dc.publication.originofpublisherForeignen_US
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