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IPSN Research Artifact Reproducibility

brycewang-stanfordbybrycewang-stanford
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1.1k
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Aprendizaje y Documentación

Strengthens reproducibility packages for IPSN sensor systems, embedded platforms, and hardware deployments.

IPSN Research Artifact Reproducibility helps embedded systems and IoT researchers prepare comprehensive, publication-grade artifact packages aligned with ACM/IEEE IPSN standards. It maps paper claims directly to reproducible scripts and data traces, audits firmware and board documentation, pins toolchains and measurement harnesses, and enforces strict double-blind anonymization for peer review and camera-ready archiving.

Características Principales

01Classifies honest reproducibility tiers from turnkey software paths to hardware-in-the-loop
02Generates structured gap analysis reports to ensure paper-to-package consistency
03Maps paper claims and figures directly to raw sensor traces, firmware, and analysis scripts
04Audits firmware toolchain pinning, RTOS versions, BOMs, and calibration protocols
05Performs double-blind anonymization checks on repositories, board photos, and traces
061,079 GitHub stars

Casos de Uso

01Converting 'available on request' hardware and dataset claims into verifiable packages
02Preparing an IPSN conference submission for Best Research Artifact award consideration
03Auditing sensor deployment traces, calibration logs, and energy measurement harnesses