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Toward a K-means clustering approach to adaptive random testing for object-oriented software

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Acknowledgements

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

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Authors and Affiliations

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

    Jinfu Chen, Minmin Zhou, Yuchi Guo & Rubing Huang

  2. Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Jiangsu University, Zhenjiang, 212000, China

    Jinfu Chen & Minmin Zhou

  3. Department of Computer Science, The University of Hong Kong, Hong Kong, China

    T. H. Tse

  4. Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, 3122, Australia

    Tsong Yueh Chen

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

    Chengying Mao

Authors
  1. Jinfu Chen
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  2. Minmin Zhou
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  3. T. H. Tse
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  4. Tsong Yueh Chen
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  5. Yuchi Guo
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  6. Rubing Huang
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  7. Chengying Mao
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Correspondence to Jinfu Chen.

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Chen, J., Zhou, M., Tse, T.H. et al. Toward a K-means clustering approach to adaptive random testing for object-oriented software. Sci. China Inf. Sci. 62, 219105 (2019). https://doi.org/10.1007/s11432-018-9827-9

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  • DOI: https://doi.org/10.1007/s11432-018-9827-9

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