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Enhancing Functional Verification with Dynamic Instruction Generation by Exploiting Processor Runtime States

Paper
First seen 7/1/2026
Last seen 7/1/2026
Evidence 2 chunks

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RELATIONSHIPS

16 connections
The paper references CSP-based test generation as related work.
Anlin Liu authored by → 100% 1e
Anlin Liu is listed as a corresponding author of the paper affiliated with Zhejiang University.
T.C. Lu authored by → 100% 1e
T.C. Lu is listed as an author affiliated with Zhejiang University.
Yuhao Xi authored by → 100% 1e
Yuhao Xi is listed as an author affiliated with Zhejiang University.
Yangfan Liu authored by → 100% 1e
Yangfan Liu is listed as an author affiliated with HEXIN Technologies Co., Ltd.
Peng Liu authored by → 100% 1e
Peng Liu is listed as an author affiliated with Zhejiang University.
Functional Verification uses → 100% 1e
The paper focuses on enhancing functional verification of processors.
random instruction generation mentions → 100% 1e
The paper mentions random instruction generators as the state-of-the-art baseline for comparison.
MicroGP mentions → 90% 1e
The paper references MicroGP as a related evolutionary assembly program generator.
Genesys-Pro mentions → 90% 1e
The paper references Genesys-Pro as a related test program generation tool.
coverage-directed test generation mentions → 90% 1e
The paper references coverage directed test generation using Bayesian networks as related work.
Bayesian Networks for Test Generation mentions → 90% 1e
The paper references Bayesian networks for coverage directed test generation as related work.
Evolutionary Assembly Program Generation mentions → 90% 1e
The paper references MicroGP as an evolutionary assembly program generator in related work.
SMT-solver State Generation mentions → 90% 1e
The paper references SMT-solver state generation for testing as related work.
DIG (Dynamic Instruction Generator) introduces → 100% 1e
The paper introduces DIG as a novel Dynamic Instruction Generator.
Dark Instructions and Vulnerabilities mentions → 90% 1e
The paper references a work on revealing RISC processor dark instructions and vulnerabilities.