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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)

Paper ID
5235
Venue
SIGMOD
Year
2016
Pagerank
6.0439255e-05
Overall Rank
5,914 | 59.43%
DOI
10.1145/2882903.2899401

Incoming Non-self Citations Over Time

Authors

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
9,245 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.2992628e-05
9,528 CHEX: Multiversion Replay with Ordered Checkpoints 2022 VLDB 5.2549275e-05
11,299 A Reproducible Tutorial on Reproducibility in Database Systems Research 2024 VLDB 5.093636e-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
919 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.00013214041
6,224 Packing Experiments for Sharing and Publication 2013 SIGMOD 5.9425753e-05
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