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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
5173
Venue
SIGMOD
Year
2016
Pagerank
5.5428429e-05
Overall Rank
5,372 | 62.63%
DOI
10.1145/2882903.2899401

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,118 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 4.3928288e-05
9,378 CHEX: Multiversion Replay with Ordered Checkpoints 2022 VLDB 4.3463396e-05
11,093 A Reproducible Tutorial on Reproducibility in Database Systems Research 2024 VLDB 4.1945683e-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
923 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.0001527609
4,301 Packing Experiments for Sharing and Publication 2013 SIGMOD 6.2885419e-05
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