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Platforms like Stack Overflow and GitHub's gist system promote the sharing ofideas and programming techniques via the distribution of code snippets designedto illustrate particular tasks. Python, a popular and fast-growing programminglanguage, sees heavy use on both sites, with nearly one million questions askedon Stack Overflow and 400 thousand public gists on GitHub. Unfortunately,around 75% of the Python example code shared through these sites cannot bedirectly executed. When run in a clean environment, over 50% of public Pythongists fail due to an import error for a missing library.  We present DockerizeMe, a technique for inferring the dependencies needed toexecute a Python code snippet without import error. DockerizeMe starts withoffline knowledge acquisition of the resources and dependencies for popularPython packages from the Python Package Index (PyPI). It then builds Dockerspecifications using a graph-based inference procedure. Our inference procedureresolves import errors in 892 out of nearly 3,000 gists from the Gistabledataset for which Gistable's baseline approach could not find and install alldependencies.

DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippets