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Received: 2001-03-18

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Journal of Zhejiang University SCIENCE A 2002 Vol.3 No.1 P.37~41

http://doi.org/10.1631/jzus.2002.0037


Block-based test data adequacy measurement criteria and test complexity metrics


Author(s):  CHEN Wei-dong, YANG Jian-jun, YE Cheng-qing, PAN Yun-he

Affiliation(s):  Department of Computer Science and Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s): 

Key Words:  block, node, segment, control flowgraph model, test data adequacy measurement criteria, test complexity metric, Kiviat diagram


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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.

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author="CHEN Wei-dong, YANG Jian-jun, YE Cheng-qing, PAN Yun-he",
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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] International Software Automation Inc, 1999. Panorama VB User's Manual. Computer Department of Zhejiang University.

[2] Sun Ting, 1999. Design and Implementation of the software testing tool Thesis for master degree. Zhejiang University, Hangzhou 72p. (in Chinese).

[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).

[4] Zheng Renjie, 1992. Computer's Software Testing Techniques. Tsinghua University Press, Beijing, 264p. (in Chinese).

[5] Zhu, Hong, Jin Lingzi, 1997. Software Quality Assurance and Testing. Science Press, Beijing, 255p.(in Chinese).

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