Symbolic Execution
ConceptIn the provided evidence, symbolic execution is identified as an example of a formal verification method used in hardware verification. The evidence groups it with model checking and states that such methods use mathematical reasoning to prove that a hardware design conforms to its specification, but also notes that formal verification methods suffer from state explosion and do not scale well for complex RTL designs such as processors.
First seen 5/26/2026
Last seen 6/9/2026
Evidence 12 chunks
Wiki v2
WIKI
Overview
In the provided evidence, symbolic execution is discussed in the context of hardware verification. It is listed as an example of a formal verification method, alongside model checking.[1]
Role in hardware verification
NEIGHBORHOOD
2 nodes · 1 edgesgraph · Symbolic Execution · depth=1
RELATIONSHIPS
6 connections Cross-level processor verification via endless randomized instruction stream generation with coverage-guided aging compares with → 80% 3e
The paper mentions symbolic execution as a related alternative approach.
Cross-level processor verification via endless randomized instruction stream generation with coverage-guided aging ← mentions 90% 2e
The paper mentions symbolic execution as a related approach.
Rosette implements symbolic execution as its core verification technique.
The paper mentions symbolic execution as a related technique for ISS-level test generation.
Symbolic execution is mentioned as an alternative approach to the paper's coverage-guided aging approach.
Symbolic execution is a form of static/formal analysis for finding bugs
CITATIONS
3 sources3 citations — click to collapse
[1] symbolic execution is listed as an example of a formal verification method used in hardware verification, alongside model checking, and such methods use mathematical reasoning to prove conformance to a specification ProcessorFuzz: Processor Fuzzing with Control and
[2] formal verification methods have a well-known state-explosion problem and do not scale well for complex RTL designs such as processors ProcessorFuzz: Processor Fuzzing with Control and
[3] a follow-up work by Li et al. enhances RFUZZ with symbolic simulation, and both RFUZZ and that work are described as highly coupled to Chisel HDL, limiting applicability ProcessorFuzz: Processor Fuzzing with Control and