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New HDL repair system uses dictionary-guided mutations and simulation divergence

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel system for automatically repairing Hardware Description Language (HDL) designs, addressing the challenge of large search spaces and strict grammar constraints. The system employs dictionary-guided mutation operators, leveraging ANTLR-derived vocabularies specific to the design under test (DUT). It combines this with a simulation-divergence fault localization module to identify and direct mutations toward high-suspicion regions. This approach has demonstrated effectiveness on the CirFix benchmark suite, successfully repairing multiple bug variants, including complex multi-edit instances that previous methods could not handle, while also achieving significant speedups. AI

IMPACT This research could lead to more efficient and effective automated debugging tools for hardware design.

RANK_REASON The cluster contains a research paper detailing a new method for automated HDL repair. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New HDL repair system uses dictionary-guided mutations and simulation divergence

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The cluster contains a research paper detailing a new method for automated HDL repair. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Maisha Mastora, Dean Sullivan ·

    Dictionary-Guided Mutation Operators for Automated HDL Repair

    arXiv:2609.01775v1 Announce Type: cross Abstract: Automated repair of Hardware Description Language (HDL) designs remains challenging due to the large search space of candidate repairs and the strict syntactic and semantic constraints imposed by HDL grammars. Generic mutation str…

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Dean Sullivan ·

    Dictionary-Guided Mutation Operators for Automated HDL Repair

    Automated repair of Hardware Description Language (HDL) designs remains challenging due to the large search space of candidate repairs and the strict syntactic and semantic constraints imposed by HDL grammars. Generic mutation strategies overwhelmingly generate syntactically inva…

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