3 papers
cs.AR2026
An Executable Benchmark for LLM-Based HLS Repair:Design Complexity and Repair Underconstraint
Maisha Mastora, Dean Sullivan
Automated repair of High-Level Synthesis (HLS) designs using large language models (LLMs) is an emerging but underexplored problem. While LLM-based repair shows strong results on r…
cs.ET2026
Dictionary-Guided Mutation Operators for Automated HDL Repair
Maisha Mastora, Dean Sullivan
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 constra…
cs.SE2026
From Silicon to Boot Code: Extending Automated Program Repair to Firmware-Layer Security Workarounds
Maisha Mastora, Dean Sullivan
Automated program repair (APR) research has been constrained to design time. Current techniques localize and fix bugs in RTL or HLS designs before a chip reaches production. Once a…