Bolt-on, Compact, and Rapid Program Slicing for Notebooks
Summary: nbslicer is a portable, switchable dynamic slicer for notebook data lineage, resolving runtime dependencies to produce accurate backward and forward cell slices. On 374 sessions, it reduced slice size by 66% and 54%, respectively, versus static slicing. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shreya Shankar (University of California Berkeley)
- 2. Stephen Macke (Independent)
- 3. Sarah Chasins (University of California Berkeley)
- 4. Andrew Head (University of Pennsylvania)
- 5. Aditya Parameswaran (University of California Berkeley)
BibTeX Citation
@article{shankar_vldb22,
title = {{Bolt-on, Compact, and Rapid Program Slicing for Notebooks}},
author = {Shankar, Shreya and Macke, Stephen and Chasins, Sarah and Head, Andrew and Parameswaran, Aditya},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {13},
pages = {4038--4047},
doi = {10.14778/3565838.3565855},
url = {https://doi.org/10.14778/3565838.3565855},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.0715586e-05 |
| 10,279 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 5.0455234e-05 |
| 11,147 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 943 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.00012945546 |
| 2,445 | noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts | 2017 | VLDB | 8.4570447e-05 |
| 6,190 | Fine-Grained Lineage for Safer Notebook Interactions | 2021 | VLDB | 5.8565828e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,641 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD |
| 2 | 10,278 | Dias: Dynamic Rewriting of Pandas Code | 2024 | SIGMOD |
| 3 | 6,046 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR |
| 4 | 2,326 | SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging | 2021 | SIGMOD |
| 5 | 11,147 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD |
| 6 | 13,807 | Towards Understanding Data Analysis Workflows using a Large Notebook Corpus | 2019 | SIGMOD |
| 7 | 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB |
| 8 | 13,747 | Automating State Management in Computational Notebooks | 2021 | CIDR |
| 9 | 10,279 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB |
| 10 | 6,190 | Fine-Grained Lineage for Safer Notebook Interactions | 2021 | VLDB |