Multiple controlled random testing

Various methods for generating controlled random tests and their disadvantages are considered. Various numerical metrics are proposed and analyzed to construct multiple controlled random tests. The effectiveness of applying the Euclidean distance for the formation of multiple controlled random tests...

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Main Authors: V. A. Levantsevich, V. N. Yarmolik
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
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Online Access:https://doklady.bsuir.by/jour/article/view/1110
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author V. A. Levantsevich
V. N. Yarmolik
author_facet V. A. Levantsevich
V. N. Yarmolik
author_sort V. A. Levantsevich
collection DOAJ
description Various methods for generating controlled random tests and their disadvantages are considered. Various numerical metrics are proposed and analyzed to construct multiple controlled random tests. The effectiveness of applying the Euclidean distance for the formation of multiple controlled random tests is substantiated and confirmed by experimental studies.
format Article
id doaj-art-eb6f35e9a33d4cb3b65287dccfc40f6f
institution Matheson Library
issn 1729-7648
language Russian
publishDate 2019-06-01
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
record_format Article
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
spelling doaj-art-eb6f35e9a33d4cb3b65287dccfc40f6f2025-08-04T17:38:19ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-010365691109Multiple controlled random testingV. A. Levantsevich0V. N. Yarmolik1Belarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsVarious methods for generating controlled random tests and their disadvantages are considered. Various numerical metrics are proposed and analyzed to construct multiple controlled random tests. The effectiveness of applying the Euclidean distance for the formation of multiple controlled random tests is substantiated and confirmed by experimental studies.https://doklady.bsuir.by/jour/article/view/1110test setmeasure of differencemultiple controlled probabilistic testeuclidean distance
spellingShingle V. A. Levantsevich
V. N. Yarmolik
Multiple controlled random testing
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
test set
measure of difference
multiple controlled probabilistic test
euclidean distance
title Multiple controlled random testing
title_full Multiple controlled random testing
title_fullStr Multiple controlled random testing
title_full_unstemmed Multiple controlled random testing
title_short Multiple controlled random testing
title_sort multiple controlled random testing
topic test set
measure of difference
multiple controlled probabilistic test
euclidean distance
url https://doklady.bsuir.by/jour/article/view/1110
work_keys_str_mv AT valevantsevich multiplecontrolledrandomtesting
AT vnyarmolik multiplecontrolledrandomtesting