DAC Paper Reproducibility
Guides researchers in establishing credible, re-runnable experimental reproducibility for ACM/IEEE DAC electronic design automation manuscripts.
DAC Paper Reproducibility helps electronic design automation (EDA) researchers build airtight experimental credibility into their ACM/IEEE Design Automation Conference submissions. Because DAC lacks a formal artifact-badging track, reviewer confidence relies on strict provenance. This skill assists in pinning standard benchmark suites (ISPD, EPFL, ISCAS, CircuitNet), documenting open-source and commercial tool flows (OpenROAD, ABC, Yosys), reporting PDK and library versions, establishing seed and variance protocols for stochastic and ML-for-EDA methods, and managing double-blind to open-source repository transitions.