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Synthesizing Patches in Dockerfiles: Base Dataset

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NIAID Data Ecosystem2026-03-14 收录
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https://zenodo.org/record/7508292
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资源简介:
Docker containers are a standardized way of packaging applications and their execution environment in a reproducible manner. This dataset is an extension of an existing docker dataset with over 100,000 Dockerfiles in 15,000 projects (https://zenodo.org/record/1200869/).  This dataset was used to extract patching patterns for Dockerfiles with the goal of improving quality in an automatic fashion. The extension of the original dataset includes:  Static analysis results of every version of every Dockerfile Vulnerability data from analysing a limited amount of built Docker images A second database containing quality patches based on the static analysis results    Files: msr18_extended A compressed, binary PostgreSQL database dump of the docker dataset extended with analysis results patch_database A compressed, binary PostgreSQL database dump of extracted patches patch_datbase.sql A PostgreSQL plain SQL database dump of extracted patches Furhter information on the artifact used to extract and apply patches and instructions to import the database dumps are provided here: https://github.com/mandoway/dfp
创建时间:
2023-01-28
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