Dockerfiles数据集
A Dataset of Dockerfiles
摘要：
Dockerfiles是行业中使用最普遍的DevOps工件之一。尽管它们很流行，但缺乏对Dockerfiles的复杂语义感知静态分析。在本文中，我们介绍了从GitHub收集的大约178，000个独特Dockerfiles的数据集。为了增强这些数据的可用性，我们描述了我们为使用、挖掘和分析这些Dockerfiles而设计的五种表示。每个Dockerfile表示都建立在前一个表示的基础上，最终的表示由三个层次的嵌套解析和抽象创建，使挖掘和静态检查等任务变得易于处理。五种表示中的每一种表示中的Dockerfiles，以及元数据和用于将数据从一种表示转移到下一种表示的工具都可以在https://doi.org/10.5281/zenodo.3628771上找到。
英文摘要：
Dockerfiles are one of the most prevalent kinds of DevOps artifacts used in industry. Despite their prevalence, there is a lack of sophisticated semantics-aware static analysis of Dockerfiles. In this paper, we introduce a dataset of approximately 178,000 unique Dockerfiles collected from GitHub. To enhance the usability of this data, we describe five representations we have devised for working with, mining from, and analyzing these Dockerfiles. Each Dockerfile representation builds upon the previous ones, and the final representation, created by three levels of nested parsing and abstraction, makes tasks such as mining and static checking tractable. The Dockerfiles, in each of the five representations, along with metadata and the tools used to shepard the data from one representation to the next are all available at: https://doi.org/10.5281/zenodo.3628771.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
