Toward a K-means Clustering Approach to Adaptive Random Testing for Object-Oriented Software

Science China Information Sciences 62 (11): 219105:1-219105:2 (2019)

Toward a K-means Clustering Approach to Adaptive Random Testing for Object-Oriented Software ¹

Jinfu Chen ^{2, 3}, Minmin Zhou ^{2, 3}, T.H. Tse ⁴, Tsong Yueh Chen ⁵, Yuchi Guo ², Rubing Huang ², and Chengying Mao ⁶

[paper from Springer | technical report TR-2019-02]

1. This work is supported in part by the National Natural Science Foundation of China (Grant Nos. U1836116, 61762040, and 61872167).

2. School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212000, China.

3. Jiangsu Key Laboratory of Security Tech. for Industrial Cyberspace, Zhenjiang 212000, China.

4. (Corresponding author.)

Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong.
Email:

5. Department of Computer Science and Software Engineering, Swinburne University of Technology, John Street, Hawthorn, VIC 3122, Australia.

6. School of Software and Communication Engineering, Jiangxi University of Finance and Economics, Nanchang 330013, China.

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