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icde-artifact-evaluation

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Use when packaging IEEE ICDE code, data, workload generators, and logs as supplemental material whose availability reviewers score, and for any post-acceptance reproducibility or badge process the edition runs. Covers what a builder-heavy committee inspects first, making a data-systems benchmark turnkey, and single-blind packaging.

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How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/ICDE-Skills/skills/icde-artifact-evaluation/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/icde-artifact-evaluation/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

ICDE Artifact Evaluation

Use this for evidence packaging around ICDE. ICDE expects authors to submit supplemental material and considers its availability in the evaluation, so a strong artifact directly raises the paper's floor even where no separate badge process runs. Confirm whether the current edition also runs a post-acceptance reproducibility/badge track (待核实) before promising evaluators anything.

Artifact plan

  • Decide what evidence a builder needs to believe the numbers: the system source, the workload generators, the baselines' configurations, the datasets or their construction scripts, seeds, and logs.
  • Keep decision-critical evidence in the paper or its figures; the artifact demonstrates reproducibility, it does not replace the argument.
  • Provide a minimal reproduction map: build steps, dependencies, hardware assumptions (especially the storage device), commands, expected outputs, runtime, and known nondeterminism sources.
  • For restricted or proprietary data, give enough provenance and construction detail for a credible re-run without violating data-use terms.
  • After acceptance, publish the public, licensed, tagged version whose commit produced the paper's numbers.

What ICDE evidence reviewers open first

Claim typeFirst artifact inspectedCommon failure caught
Throughput/latency winrun_small.sh and the workload generatorNumbers cannot be regenerated; generator or seeds absent
"Mechanism causes the gain"The ablation toggle in the codeThe toggle does not exist; gain not isolable in the artifact
Baseline comparisonThe baseline's config filesBaseline was untuned or run with defaults
Scale claimThe scale-factor sweep scriptOnly one scale factor is actually runnable
Cost/overhead claimThe instrumentation that measures costCost is asserted but not measured anywhere

Because ICDE reviewers are builders, they will re-run a small benchmark far sooner than they will provision a cluster — make run_small.sh reproduce the headline crossover on one machine in minutes before polishing anything else.

Worked vignette: packaging a storage-engine benchmark

A submission proposes a write-optimized index validated on a telemetry trace and a synthetic sweep.

  • Ship the workload as a parameterized generator (append rate, append-to-scan ratio, key distribution), not constants buried in a driver, so reviewers can vary the regime.
  • Record the exact seed sequence and run count behind every throughput and latency-tail figure; percentile claims are meaningless without them.
  • Emit figures directly from logged runs so PDF and artifact numbers cannot drift.
  • Include the ablation switch and the baseline configs so a reviewer can reproduce both the effect and the fair comparison.

Single-blind and logistics anchors

  • ICDE is single-blind: the artifact need not be anonymized — leave author names and history in place; spend the effort on making it build and run.
  • Assume, absent a formal badge track, that only the README and one entry script get opened; design for that. If a badge/reproducibility process does run this edition, read its criteria before packaging.
  • Upload size limits and accepted formats vary by edition; verify against the current CMT submission form.

Output format

[Artifact role] scored supplement / post-acceptance reproducibility / public archive
[Contents] <source / generators / baseline-configs / logs / claims-map>
[Turnkey check] <does run_small.sh reproduce the headline result? y/n>
[Isolability] <is the mechanism ablation runnable in the artifact? y/n>
[Hygiene] <secrets / caches / bloat removed>
[Fixes before upload] <ordered list>