CLC number: TP311.56
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 0
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CHEN Wei-dong, YANG Jian-jun, YE Cheng-qing, PAN Yun-he. Block-based test data adequacy measurement criteria and test complexity metrics[J]. Journal of Zhejiang University Science A, 2002, 3(1): 37-41.
@article{title="Block-based test data adequacy measurement criteria and test complexity metrics",
author="CHEN Wei-dong, YANG Jian-jun, YE Cheng-qing, PAN Yun-he",
journal="Journal of Zhejiang University Science A",
volume="3",
number="1",
pages="37-41",
year="2002",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2002.0037"
}
%0 Journal Article
%T Block-based test data adequacy measurement criteria and test complexity metrics
%A CHEN Wei-dong
%A YANG Jian-jun
%A YE Cheng-qing
%A PAN Yun-he
%J Journal of Zhejiang University SCIENCE A
%V 3
%N 1
%P 37-41
%@ 1869-1951
%D 2002
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2002.0037
TY - JOUR
T1 - Block-based test data adequacy measurement criteria and test complexity metrics
A1 - CHEN Wei-dong
A1 - YANG Jian-jun
A1 - YE Cheng-qing
A1 - PAN Yun-he
J0 - Journal of Zhejiang University Science A
VL - 3
IS - 1
SP - 37
EP - 41
%@ 1869-1951
Y1 - 2002
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2002.0037
Abstract: On the basis of software testing tools we developed for programming languages, we firstly present a new control flowgraph model based on block. In view of the notion of block, we extend the traditional program-based software test data adequacy measurement criteria, and empirically analyze the subsume relation between these measurement criteria. Then, we define four test complexity metrics based on block. They are J-complexity 0; J-complexity 1; J-complexity 1 +; J-complexity 2. Finally, we show the kiviat diagram that makes software quality visible.
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[3] Yang Jianjun, Chen Weidong, Ye Chengqing, et al., 2000. Design and Implementation of Testing Tools for Context-free Languages. Journal of Computer Research and Development. 37(11):1375-1381 (in Chinese, with Engligh abstract).
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[5] Zhu, Hong, Jin Lingzi, 1997. Software Quality Assurance and Testing. Science Press, Beijing, 255p.(in Chinese).
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