A Reproducible Tutorial on Reproducibility in Database Systems Research
Summary: A hands-on, beginner-friendly guide to Docker-based reproducibility for database experiments, covering automation, multi-container setups, and artifact packaging. Uniquely, the tutorial is itself a reproducible artifact with an accompanying GitHub repository. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Tim Fischer (Eberhard Karls University)
- 2. Denis Hirn (Eberhard Karls University)
- 3. Gökhan Kul (University of Massachusetts Amherst)
BibTeX Citation
@article{fischer_vldb24,
title = {{A Reproducible Tutorial on Reproducibility in Database Systems Research}},
author = {Fischer, Tim and Hirn, Denis and Kul, Gökhan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4221--4224},
doi = {10.14778/3685800.3685840},
url = {https://doi.org/10.14778/3685800.3685840},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 103 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00034161428 |
| 5,914 | ReproZip: Computational Reproducibility With Ease | 2016 | SIGMOD | 6.0439255e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,000 | Data Management for Data Science: Towards Embedded Analytics | 2020 | CIDR |
| 2 | 9,289 | Compact, Tamper-Resistant Archival of Fine-Grained Provenance | 2021 | VLDB |
| 3 | 11,518 | Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration | 2022 | CIDR |
| 4 | 1,147 | Data Management Challenges in Production Machine Learning | 2017 | SIGMOD |
| 5 | 13,590 | Sharing and Reproducing Database Applications | 2015 | VLDB |
| 6 | 11,000 | Unlocking the Power of CI/CD for Data Pipelines in Distributed Data Warehouses | 2025 | VLDB |
| 7 | 919 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD |
| 8 | 6,224 | Packing Experiments for Sharing and Publication | 2013 | SIGMOD |
| 9 | 12,399 | Exploring the Coming Repositories of Reproducible Experiments: Challenges and Opportunities | 2011 | VLDB |
| 10 | 9,370 | Computational Reproducibility: State-of-the-Art, Challenges, and Database Research Opportunities | 2012 | SIGMOD |