01125nas a2200145   4500008004100000245007000041210006900111260001900180520063500199100002300834700002000857700001700877700001900894856006600913       2018                        eng d00aExplaining successful docker images using pattern mining analysis0 aExplaining successful docker images using pattern mining analysi  bSpringer, Cham3 aDocker is on the rise in today’s enterprise IT. It permits shipping applications inside portable containers, which run from so-called Docker images. Docker images are distributed in public registries, which also monitor their popularity. The popularity of an image directly impacts on its usage, and hence on the potential revenues of its developers. In this paper, we present a frequent pattern mining-based approach for understanding how to improve an image to increase its popularity. The results in this work can provide valuable insights to Docker image providers, helping them to design more competitive software products.1 aGuidotti, Riccardo1 aSoldani, Jacopo1 aNeri, Davide1 aBrogi, Antonio  uhttps://link.springer.com/chapter/10.1007/978-3-030-04771-9_9