AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (593.5 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Detecting arrays on graphs

Chengmin Wang1Ce Shi2( )Tatsuhiro Tsuchiya3Quanrui Zhang4
Department of Mathematics, Taizhou University, Taizhou 225300, China
School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China
Graduate School of Information Science and Technology, Osaka University, Suita 565-0871, Japan
School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China
Show Author Information

Abstract

Covering arrays on graphs can be used to generate test suites in component-based systems but they cannot identify and determine faulty interactions from the outcome of the test. To address this problem, the notion of detecting arrays on graphs (DAGs) was proposed in this paper. Then, the equivalence and the existence of DAGs were intensively studied. We established a general criterion for measuring the optimality of DAGs in terms of their size. Based on this optimality criterion, the equivalence between optimal DAGs and orthogonal arrays with prescribed properties was established. With this equivalence property, a great number of optimal detecting arrays on cycles were produced by constructing the equivalent combinatorial configurations. In particular, the existence of optimal detecting arrays on cycles with few vertices was almost completely determined.

References

【1】
【1】
 
 
Electronic Research Archive
Pages 3328-3347

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang C, Shi C, Tsuchiya T, et al. Detecting arrays on graphs. Electronic Research Archive, 2025, 33(5): 3328-3347. https://doi.org/10.3934/era.2025147

1

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 31 December 2024
Revised: 13 May 2025
Accepted: 23 May 2025
Published: 15 May 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)