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Perspectives on search strategies in automated test input generation

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Acknowledgements

We thank the anonymous reviewers for their constructive comments. This work was supported in part by National Key R&D Program (#2017YFB1001801) and the National Natural Science Foundation of China (Grant Nos. #61690204 and #61802165). The authors would also like to thank the support of the Collaborative Innovation Center of Novel Software Technology and Industrialization, Jiangsu, China.

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Authors and Affiliations

  1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China

    Yang Cao, Yanyan Jiang, Chang Xu, Jun Ma & Xiaoxing Ma

  2. Department of Computer Science and Technology, Nanjing University, Nanjing, 210023, China

    Yang Cao, Yanyan Jiang, Chang Xu, Jun Ma & Xiaoxing Ma

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  1. Yang Cao
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  2. Yanyan Jiang
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  3. Chang Xu
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  4. Jun Ma
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  5. Xiaoxing Ma
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Corresponding authors

Correspondence to Yanyan Jiang or Chang Xu.

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Cao, Y., Jiang, Y., Xu, C. et al. Perspectives on search strategies in automated test input generation. Front. Comput. Sci. 14, 143202 (2020). https://doi.org/10.1007/s11704-019-8281-3

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