Model Checking
TechniqueModel checking is referenced in the provided evidence as a formal technique used in some RISC-V processor-verification approaches. The evidence also notes that such formal techniques may be susceptible to scalability issues.
First seen 5/25/2026
Last seen 7/16/2026
Evidence 16 chunks
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Overview
Model checking appears in the provided evidence as the basis for a few formal approaches in the RISC-V domain. These approaches are discussed alongside other processor-verification techniques such as directed test suites, simulation-based instruction-sequence generation, constraint-based specifications, fuzzing, and cross-level co-simulation.
Use in processor verification
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10 connectionsriscv-formal leverages model checking for RISC-V verification.
OneSpin 360 DV RISC-V Verification App leverages model checking for RISC-V verification.
Model checking formal verification is performed using the Jasper tool.
SMV is an existing model checker used with SystemC for formal verification.
SystemC is used to create formal models for model checking verification.
Model checking is used as a fully-automatic approach for pre-silicon formal verification.
Model Checking is contrasted with Bounded Model Checking in the context of RISC-V security verification.
Model checking is used as part of formal verification methodology.
The paper mentions model checking as a related technique for processor verification.
The paper combines symbolic execution with model checking for RISC-V verification.
LINKED ENTITIES
1 linksCITATIONS
3 sources3 citations — click to collapse
[1] In the RISC-V domain, some formal approaches have been proposed that are based on model checking techniques. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing
[2] Formal techniques based on model checking may be susceptible to scalability issues. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing
[3] Model checking is used for processor verification in the RISC-V context. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing