Individual skill
icde-reproducibility
Use when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators, seeds, and variance protocol; ensuring baseline-tuning fairness; tracing figures to raw logs; and packaging supplemental material whose availability ICDE scores.
ICDE-Skills/skills/icde-reproducibility/SKILL.md
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# ICDE Reproducibility
Use this before submission and again before camera-ready. ICDE authors are expected to submit
supplemental material, and its availability is weighed in the evaluation — so reproducibility
is not optional polish, it is scored evidence.
## Evidence map
- Map each performance claim to a **verifiable location**: a figure regenerated from logged
runs, a workload script, or a documented measurement in the supplement.
- **Pin the environment**: CPU, memory, storage device (the NVMe/SSD/HDD distinction changes
results), OS and kernel, database/library versions, compiler flags, and any cluster topology.
- **Pin the data**: dataset provenance, construction steps, scale factors, and for synthetic
data the **generator with its seeds** — a workload nobody can regenerate is not reproducible.