@inproceedings{3046eb698f8045bc9eea0e248bee741a,
title = "Restoring execution environments of jupyter notebooks",
abstract = "More than ninety percent of published Jupyternotebooks do not state dependencies on external packages. This makes them non-executable and thus hinders reproducibility of scientific results. We present SnifferDog, an approach that1) collects the APIs of Python packages and versions, creating a database of APIs; 2) analyzes notebooks to determine candidates for required packages and versions; and 3) checks which packages are required to make the notebook executable(and ideally, reproduce its stored results). In its evaluation, we show thatSnifferDogprecisely restores execution environments for the largest majority of notebooks, making them immediately executable for end users.",
keywords = "API, Environment, Jupyter Notebook, Python",
author = "Jiawei Wang and Li Li and Andreas Zeller",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 43rd IEEE/ACM International Conference on Software Engineering, ICSE 2021 ; Conference date: 25-05-2021 Through 28-05-2021",
year = "2021",
month = nov,
day = "5",
doi = "10.1109/ICSE43902.2021.00144",
language = "英语",
series = "Proceedings - International Conference on Software Engineering",
publisher = "IEEE Computer Society",
pages = "1622--1633",
booktitle = "Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering, ICSE 2021",
address = "美国",
}