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ACM IMC Reproducibility & Artifact Auditor

brycewang-stanfordbybrycewang-stanford
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1.1k
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学习与文档

Strengthens ACM Internet Measurement Conference (IMC) submissions through rigorous artifact availability declarations, provenance pinning, and replicability verification.

The IMC Reproducibility skill prepares academic networking researchers for submission and camera-ready requirements at ACM IMC by structuring clear artifact-availability declarations and rigorous provenance pinning. Addressing the realities of dynamic network measurements, it distinguishes between turnkey analysis reproducibility and method reproducibility. The skill inventories paper claims against released data, maps vantage points, captures tool versions and timing parameters, verifies privacy-preserving data redactions, and optimizes papers for the dedicated IMC Replicability Track.

主要功能

01Structures formal artifact-availability declarations and schema definitions
02Differentiates between turnkey analysis and method reproducibility for dynamic networks
03Audits paper claims against released datasets to eliminate consistency discrepancies
041,079 GitHub stars
05Pins measurement provenance across vantage points, timing, targets, and tool versions
06Guides submissions targeted at the dedicated ACM IMC Replicability Track

使用场景

01Designing replicability and reproduction studies for longitudinal network measurement research
02Pre-submission audit to verify that all figures and claims reconcile with released artifacts
03Camera-ready preparation to transition anonymized data to permanent DOI-issuing archives