ReproZip: Computational Reproducibility With Ease
Summary: ReproZip automates dependency tracking to produce self-contained experiment packages across platforms. Shared bundles enable unpacking, reproducing results, and reusing workflows with minimal effort, advancing data-management reproducibility. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fernando Chirigati (New York University)
- 2. Rémi Rampin (New York University)
- 3. Dennis Shasha (New York University)
- 4. Juliana Freire (New York University)
BibTeX Citation
@inproceedings{chirigati_sigmod16,
title = {{ReproZip: Computational Reproducibility With Ease}},
author = {Chirigati, Fernando and Rampin, Rémi and Shasha, Dennis and Freire, Juliana},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899401},
url = {https://dl.acm.org/doi/10.1145/2882903.2899401},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,426 | Towards Observability for Production Machine Learning Pipelines | 2022 | VLDB | 5.1779092e-05 |
| 9,718 | CHEX: Multiversion Replay with Ordered Checkpoints | 2022 | VLDB | 5.1345893e-05 |
| 11,625 | A Reproducible Tutorial on Reproducibility in Database Systems Research | 2024 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 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 | 0.00012939577 |
| 6,357 | Packing Experiments for Sharing and Publication | 2013 | SIGMOD | 5.8064898e-05 |
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