cav-artifact-evaluation
GitHub指导CAV论文作者打包可验证工件以通过AEC评估。涵盖Available/Functional/Reusable徽章获取、烟测与全审流程、≥2名评审机制，以及求解器、基准测试等组件的打包规范与常见失败点排查。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cav-artifact-evaluation -g -y
SKILL.md
Frontmatter
{
"name": "cav-artifact-evaluation",
"description": "Use when packaging a CAV (Computer Aided Verification) artifact for the Artifact Evaluation Committee (AEC), covering the three badges (Available \/ Functional \/ Reusable), the smoke-test and full-review phases, ≥2 AEC reviewers per artifact, DOI-issuing archives, verification-tool packaging (solvers, benchmarks, seeds, resource limits, proof witnesses), and the fact that AE is invited, post-notification, and non-conditional."
}
CAV Artifact Evaluation
Use this for the artifact track. CAV artifact evaluation is run by a dedicated Artifact Evaluation Committee (AEC), is invited but optional after notification, and — importantly — final paper acceptance is not conditional on it. Authors declare artifact intent at submission time; the actual AEC submission comes after acceptance, on the artifact track's own deadline (CAV 2026 artifact registration: 22 Apr 2026). Two things to internalize: badges are earned by AEC members actually running your package, and for anonymized paper categories the review-time material and the AEC artifact are handled differently (the AEC artifact is post-notification, so de-anonymization is fine).
The three badges (verify the current set and names)
| Badge | What it certifies | What earns it |
|---|---|---|
| Available | The artifact is permanently, publicly retrievable | Deposit in a DOI-issuing archival repository (Zenodo, figshare, Software Heritage) |
| Functional | The artifact is documented, consistent, complete, and exercisable | A clean-machine install, a working run, and documented expected outputs |
| Reusable | Quality significantly exceeds Functional; others can build on it | Functional plus a reuse license, clear structure, and easy-to-adapt docs; requires Available |
Available is a low-cost, high-value badge (archive the package with a DOI). Functional and Reusable require the AEC's own run to succeed, so the failure mode is almost always "it did not build/run on their machine," not "the idea was weak." Reusable additionally requires that the artifact already be Available.
How the AEC evaluates (two phases, ≥2 reviewers)
Each artifact is examined by at least two AEC members across two phases:
[Smoke-test phase] reviewers confirm the artifact downloads, unpacks, and the basic entry point
runs on a clean environment. Fix any friction here and you can still respond.
[Full-review phase] reviewers work through the claims: run the tool on the benchmarks, check the
documented outputs, and assess reusability for the Reusable badge.
Design so the smoke test succeeds in the first ten minutes on a fresh machine — a VM image or a container removes most smoke-test failures.
What AEC reviewers open first (verification-specific)
| Claim type | First thing inspected | Common failure caught |
|---|---|---|
| A solver / model checker / prover | Build/install + one benchmark run | Undocumented dependencies; only-builds-on-authors'-machine |
| A benchmark comparison | The scripts that reproduce the paper's table | Numbers in the PDF no script regenerates; unpinned benchmark set |
| A soundness claim | The witness/certificate + an independent checker | "Verified" verdict with no checkable proof |
| A randomized/portfolio tool | Seeds, resource limits, and core counts | Non-deterministic results with no fixed seed or stated limits |
Packaging plan for a verification artifact
[Container] ship a Docker image or a VM (many CAV artifacts use a provided VM) with the tool
pre-built; avoid "compile these dependencies by hand"
[README] one-screen orientation: what it is, install, a smoke-test command, how to reproduce
each table, expected runtime and outputs, and the hardware you used
[Benchmarks] the exact benchmark set and revision (SV-COMP/SMT-COMP/HWMCC/VNN-COMP subset), or a
documented fetch; state the subset and why
[Config] resource limits (time/memory), core count, seeds for any randomized component
[Witnesses] proof certificates / unsat proofs / verification witnesses + an independent checker
where the claim is correctness
[Mapping] an explicit table: paper claim -> script/command -> expected result
[License] an OSI-approved license so the artifact can be badged Reusable
[Archive] deposit in a DOI-issuing repository for the Available badge
Worked vignette: packaging an SMT-solver + benchmark study
A Regular Paper contributes a solving technique and a benchmark comparison. To target Reusable and
Available: ship a Docker image with the solver pre-built; a smoke.sh that solves one bundled
instance in under a minute; a reproduce/ directory whose scripts rerun the benchmark division under
the paper's exact time/memory limits and regenerate each table; the pinned benchmark-set revision (or
a fetch script); logged seeds for the portfolio; DRAT/unsat proofs with a bundled checker for the
UNSAT claims; a claim-to-command mapping in the README; and an Apache/MIT license. State honestly
which results are turnkey and which need the full (multi-day) benchmark run, and archive the whole
package on Zenodo for a DOI.
Calibration
- Artifact evaluation is after notification and not a condition of acceptance — plan it, but do not block the camera-ready on the badge outcome.
- Badge names, the exact set offered, the phase structure, and whether the AEC is single- or double-anonymous vary by cycle — confirm on the current Artifact Evaluation page.
Output format
[Target badges] Available / Functional / Reusable
[Phase readiness] smoke test passes in <10 min on a clean machine? yes/no
[Contents] <tool/benchmarks(revision)/config(limits,seeds)/witnesses/license>
[Claim mapping] <claim -> command -> expected result present? yes/no>
[Archive] DOI-issuing repository chosen? yes/no
[Fixes before submission] <ordered list>
Version History
- 9f86f09 Current 2026-07-19 14:38
