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Sixth International Conference on Quality Software (QSIC'06)
Generating Optimal Test Set for Neighbor Factors Combinatorial Testing
Beijing, China
October 27-October 28
ISBN: 0-7695-2718-3
ASCII Text
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Nie Changhai, Xu Baowen, Wang Ziyuan, Shi Liang, "Generating Optimal Test Set for Neighbor Factors Combinatorial Testing," Quality Software, International Conference on, pp. 259-265, Sixth International Conference on Quality Software (QSIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/QSIC.2006.31,
author = {Nie Changhai and Xu Baowen and Wang Ziyuan and Shi Liang},
title = {Generating Optimal Test Set for Neighbor Factors Combinatorial Testing},
journal ={Quality Software, International Conference on},
volume = {0},
year = {2006},
issn = {1550-6002},
pages = {259-265},
doi = {http://doi.ieeecomputersociety.org/10.1109/QSIC.2006.31},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Quality Software, International Conference on
TI - Generating Optimal Test Set for Neighbor Factors Combinatorial Testing
SN - 1550-6002
SP259
EP265
A1 - Nie Changhai,
A1 - Xu Baowen,
A1 - Wang Ziyuan,
A1 - Shi Liang,
PY - 2006
KW - Software testing
KW - combinatorial testing
KW - neighbor factors interaction
VL - 0
JA - Quality Software, International Conference on
ER -
 
Nie Changhai, Southeast University, China; Jiangsu Institute of Software Quailty, China
Xu Baowen, Southeast University, China; Jiangsu Institute of Software Quailty, China
Wang Ziyuan, Southeast University, China; Jiangsu Institute of Software Quailty, China
Shi Liang, Southeast University, China; Jiangsu Institute of Software Quailty, China
Combinatorial testing is a specification-based testing method, which can detect the faults triggered by interaction of factors. For one kind of software in which the interactions only exist between neighbor factors, this paper proposes the concept of neighbor factors combinatorial testing, presents the covering array generation algorithms for neighbor factors pair-wise (N=2) coverage, neighbor factors N-way (N\geqslant2) coverage and variable strength neighbor factors coverage, and proves that the covering arrays generated by these three algorithms are optimal. Finally we analyze an application scenario, which shows that this approach is very practical.
Index Terms:
Software testing, combinatorial testing, neighbor factors interaction
Citation:
Nie Changhai, Xu Baowen, Wang Ziyuan, Shi Liang, "Generating Optimal Test Set for Neighbor Factors Combinatorial Testing," qsic, pp.259-265, Sixth International Conference on Quality Software (QSIC'06), 2006
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