DAC Review Process Guide

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Guides academic manuscript evaluation and review interpretation for the ACM/IEEE Design Automation Conference (DAC).

The DAC Review Process skill provides specialized intelligence on how research manuscripts are evaluated at the ACM/IEEE Design Automation Conference (DAC). It equips EDA researchers and authors with a deep understanding of DAC's double-blind Technical Program Committee (TPC) dynamics, the critical 'novelty-plus-QoR' (Quality of Results) evaluation bar, binary accept/reject decision cycles, and key differences from architecture or software engineering venues. Use this skill to diagnose reviewer feedback, ensure experimental baselines meet the conference bar, and formulate structured rerouting plans for sibling venues such as ICCAD, DATE, and ASP-DAC.

主な機能

01Models DAC's double-blind, single-shot TPC review and discussion lifecycle
02Formulates strategic rerouting and revision roadmaps for ICCAD, DATE, ASP-DAC, and TCAD
03Contrasts DAC submission dynamics with architecture and software engineering conference models
04Delivers pre-submission checklists for baseline fairness, standard benchmarks, and ablations
05Maps reviewer feedback signals to core criteria including novelty, QoR fairness, and scalability
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ユースケース

01Diagnosing DAC review comments to identify structural weaknesses in baselines or benchmark credibility
02Auditing pre-submission manuscripts to align novelty claims with industry-standard QoR metrics
03Formulating targeted revision plans for rerouting rejected DAC papers to sibling EDA venues