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Automating State Management in Computational Notebooks

Summary: Automates management of implicit mutable state in Jupyter notebooks to enable reproducible, order-independent execution and tighter interactive feedback. Uses provenance tracking, cell-dependency analysis, and automated checkpoints/rollback to reconcile exploration with correctness. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
393
Venue
CIDR
Year
2021
Pagerank
-
Overall Rank
13,433 | 7.84%
DOI
-

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BibTeX Citation

@inproceedings{macke_cidr21,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '21},
        title = {{Automating State Management in Computational Notebooks}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Macke, Stephen},
        year = {2021}
}

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Rank Cited Paper Year Venue Pagerank
6,071 Fine-Grained Lineage for Safer Notebook Interactions 2021 VLDB 5.9873765e-05
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