The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O uso de matrizes de localização é motivado pelo uso de geração de conjuntos de testes de software para localizar falhas de interação em sistemas baseados em componentes. Neste artigo, introduzimos uma nova configuração combinatória, com a qual é apresentada uma descrição combinatória geral de matrizes de localização $( ar{1},t)$. Com base nesta caracterização, uma série de matrizes de localização por meio de SSOA e matrizes de cobertura de diferenças com propriedades prescritas são construídas de forma eficaz. Como consequência, são obtidos limites superiores para o tamanho das matrizes de localização com um pequeno número de fatores.
Ce SHI
Shanghai Lixin University of Accounting and Finance
Jianfeng FU
Shanghai Lixin University of Accounting and Finance
Chengmin WANG
Taizhou University
Jie YAN
Jiangnan University
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Ce SHI, Jianfeng FU, Chengmin WANG, Jie YAN, "Upper Bounds and Constructions of Locating Arrays" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 5, pp. 827-833, May 2021, doi: 10.1587/transfun.2020EAL2081.
Abstract: The use of locating arrays is motivated by the use of generating software test suites to locate interaction faults in component-based systems. In this paper, we introduce a new combinatorial configuration, with which a general combinatorial description of $(ar{1},t)$-locating arrays is presented. Based on this characterization, a number of locating arrays by means of SSOA and difference covering arrays with prescribed properties are constructed effectively. As a consequence, upper bounds on the size of locating arrays with small number of factors are then obtained.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2081/_p
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@ARTICLE{e104-a_5_827,
author={Ce SHI, Jianfeng FU, Chengmin WANG, Jie YAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Upper Bounds and Constructions of Locating Arrays},
year={2021},
volume={E104-A},
number={5},
pages={827-833},
abstract={The use of locating arrays is motivated by the use of generating software test suites to locate interaction faults in component-based systems. In this paper, we introduce a new combinatorial configuration, with which a general combinatorial description of $(ar{1},t)$-locating arrays is presented. Based on this characterization, a number of locating arrays by means of SSOA and difference covering arrays with prescribed properties are constructed effectively. As a consequence, upper bounds on the size of locating arrays with small number of factors are then obtained.},
keywords={},
doi={10.1587/transfun.2020EAL2081},
ISSN={1745-1337},
month={May},}
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TY - JOUR
TI - Upper Bounds and Constructions of Locating Arrays
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 827
EP - 833
AU - Ce SHI
AU - Jianfeng FU
AU - Chengmin WANG
AU - Jie YAN
PY - 2021
DO - 10.1587/transfun.2020EAL2081
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2021
AB - The use of locating arrays is motivated by the use of generating software test suites to locate interaction faults in component-based systems. In this paper, we introduce a new combinatorial configuration, with which a general combinatorial description of $(ar{1},t)$-locating arrays is presented. Based on this characterization, a number of locating arrays by means of SSOA and difference covering arrays with prescribed properties are constructed effectively. As a consequence, upper bounds on the size of locating arrays with small number of factors are then obtained.
ER -