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Combinatorial Software Testing
被引:60
作者
:
Kuhn, Rick
论文数:
0
引用数:
0
h-index:
0
机构:
NIST, Math & Computat Sci Div, Gaithersburg, MD USA
Kuhn, Rick
Kacker, Raghu
论文数:
0
引用数:
0
h-index:
0
机构:
NIST, Math & Computat Sci Div, Gaithersburg, MD USA
NIST, Math & Computat Sci Div, Gaithersburg, MD USA
Kacker, Raghu
[
1
]
Lei, Yu
论文数:
0
引用数:
0
h-index:
0
机构:
Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX USA
NIST, Math & Computat Sci Div, Gaithersburg, MD USA
Lei, Yu
[
2
]
Hunter, Justin
论文数:
0
引用数:
0
h-index:
0
机构:
NIST, Math & Computat Sci Div, Gaithersburg, MD USA
Hunter, Justin
机构
:
[1]
NIST, Math & Computat Sci Div, Gaithersburg, MD USA
[2]
Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX USA
来源
:
COMPUTER
|
2009年
/ 42卷
/ 08期
关键词
:
Combinatorial software testing;
Computers;
Data mining;
Design and test;
Efficient test design methods;
Pairwise testing;
Protocols;
Software;
Software technologies;
Testing;
D O I
:
10.1109/MC.2009.253
中图分类号
:
TP3 [计算技术、计算机技术];
学科分类号
:
0812 ;
摘要
:
Combinatorial testing can detect hard-to-find software faults more efficiently than manual test case selection methods. © 2009 IEEE.
引用
收藏
页码:94 / 96
页数:3
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