CODD: A Dataless Approach to Big Data Testing
Summary: CODD is a dataless testing framework that simulates DB deployments using only metadata. Graph-based metadata with a topological-sort checker and inverse-minimization to scale metadata for space-time goals, query costs and optimizer behavior. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ashoke S.
- 2. Jayant R. Haritsa
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,895 | HYDRA: A Dynamic Big Data Regenerator | 2018 | VLDB | 4.623701e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,631 | Plan Bouquets: Query Processing without Selectivity Estimation | 2014 | SIGMOD | 8.4101843e-05 |
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