(2021) Restoring Execution Environments of Jupyter Notebooks.
In: ICSE 2021, May 2021, Virtual.
Conference:
ICSE International Conference on Software Engineering
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Abstract
More than ninety percent of published Jupyter notebooks do not state dependencies on external packages. This makes them non-executable and thus hinders reproducibility of scientific results. We present SnifferDog, an approach that 1) collects the APIs of Python packages and versions, creat- ing 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 that SnifferDog precisely restores execution environments for the largest majority of notebooks, making them immediately executable for end users.
| Item Type: | Conference or Workshop Item (A Paper) (Paper) |
|---|---|
| Divisions: | Andreas Zeller (Software Engineering, ST) |
| Conference: | ICSE International Conference on Software Engineering |
| Depositing User: | Andreas Zeller |
| Date Deposited: | 13 Oct 2022 08:24 |
| Last Modified: | 13 Oct 2022 08:24 |
| Primary Research Area: | NRA4: Secure Mobile and Autonomous Systems |
| URI: | https://publications.cispa.saarland/id/eprint/3827 |
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