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A clustering-based approach for mining dockerfile evolutionary trajectories

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61502512, 61432020), China Scholarship Council, and National Science Foundation of USA (Grant No. 1717370). Part of this study was performed during the visit in 2017 by the first author at the DECAL lab, UC Davis.

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Authors and Affiliations

  1. Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha, 410073, China

    Yang Zhang & Huaimin Wang

  2. College of Computer, National University of Defense Technology, Changsha, 410073, China

    Yang Zhang & Huaimin Wang

  3. DECAL Lab, University of California, Davis, 95616, USA

    Vladimir Filkov

  4. Computer Science Department, University of California, Davis, 95616, USA

    Vladimir Filkov

Authors
  1. Yang Zhang
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  2. Huaimin Wang
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  3. Vladimir Filkov
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Correspondence to Yang Zhang.

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Zhang, Y., Wang, H. & Filkov, V. A clustering-based approach for mining dockerfile evolutionary trajectories. Sci. China Inf. Sci. 62, 19101 (2019). https://doi.org/10.1007/s11432-017-9415-3

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  • DOI: https://doi.org/10.1007/s11432-017-9415-3

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