Reproducibility Report for ACM SIGMOD 2024 Paper: 'StarfishDB: A Query Execution Engine for Relational Probabilistic Programming'
The core thesis of this paper could easily be reproduced in the original environment. The authors provided an almost fully automated set of scripts that automatically execute the experiments. The experimental data was automatically collected and plotted. The resulting figures have some minor deviations from the originals, but the overall trends remain the same, and hence they can be considered a good fit.
Authors
- Niccolò Meneghetti (ORCID: https://orcid.org/0000-0002-4107-1759)
- Alexander Krause (ORCID: https://orcid.org/0000-0002-2616-8739)
- Ouael Ben Amara (ORCID: https://orcid.org/0000-0002-4324-8298)
- Sami Hadouaj (ORCID: https://orcid.org/0009-0004-3407-307X)
- Georgiy Lebedev
Institutions
- University of Michigan–Dearborn (US)
- École Polytechnique Fédérale de Lausanne (CH)
- Technische Universität Dresden (DE)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1145/3687998.3717056
- Primary Topic
- Data Mining Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00