SCIENCE CHINA Information Sciences, Volume 62 , Issue 1 : 019101(2019) https://doi.org/10.1007/s11432-017-9415-3

A clustering-based approach for mining dockerfile evolutionary trajectories

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  • ReceivedJan 2, 2018
  • AcceptedApr 9, 2018
  • PublishedOct 15, 2018


There is no abstract available for this article.


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.


Appendixes A–D, and Figure B1.


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