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Constraint Satisfaction Problem-based Test Generation

Technique

Constraint Satisfaction Problem-based Test Generation is a simulation-oriented processor verification technique in which constraints are used to specify or guide the generation of processor-level test stimuli, with CSP or SMT solvers processing those constraints. The cited evidence places it among model-based test generation approaches and contrasts this family of techniques with coverage-guided fuzzing for processor verification.

First seen 5/28/2026
Last seen 5/29/2026
Evidence 1 chunks
Wiki v1

WIKI

Overview

Constraint Satisfaction Problem-based Test Generation is a processor-verification technique in which constraints are used as part of the test-input specification and are processed by Constraint Satisfaction Problem (CSP) or Satisfiability Modulo Theories (SMT) solvers to generate processor-level stimuli. The technique appears in the broader class of simulation-based processor verification approaches that rely on test generation. [C1]

Role in processor verification

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NEIGHBORHOOD

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RELATIONSHIPS

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Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing ← compares with 75% 1e
The paper discusses CSP-based test generation as a related approach.

LINKED ENTITIES

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Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing COMPARES_WITH Extracted graph relationship

CITATIONS

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3 citations — click to collapse
[1] CSP/SMT-based test generation is described as a simulation-based processor verification approach in which model-based generators use input-format specifications and constraints processed by CSP or SMT solvers to generate processor-level stimuli. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing
[2] The evidence notes optimization techniques for propagating constraints among multiple instructions more effectively. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing
[3] The cited coverage-guided fuzzing paper positions CSP/SMT-based test generation among related processor-verification stimulus-generation techniques and contrasts its own fuzzing-based co-simulation approach with prior test-generation directions. Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing