Constraint-based Test Generation

Concept

Constraint-based test generation is a processor-verification stimulus-generation approach represented in the cited literature by constraint-based specifications and abstract constraint-satisfaction formulations for instruction streams. In the provided evidence, it is discussed as part of the broader family of processor-level stimuli generation methods and contrasted with coverage-guided aging for cross-level processor verification.

First seen 5/29/2026

Last seen 6/5/2026

Evidence 4 chunks

Wiki v1

WIKI

Overview

Constraint-based test generation is a stimulus-generation approach used in processor verification. In the supplied evidence, it appears in the context of processor-level stimuli generation, including work on RISC-V ISA compliance using constraint-based specifications and prior work on generating instruction streams using abstract CSP (constraint satisfaction problem) formulations. The same evidence frames these methods as related to, but distinct from, coverage-guided aging approaches for cross-level processor verification.

Role in processor verification

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NEIGHBORHOOD

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RELATIONSHIPS

7 connections

MicroTESK ← implements 90% 4e

MicroTESK is a specification-based tool for constructing test program generators using constraint-based techniques.

RISC-V Design Verification (DV) Framework ← uses 100% 4e

RISC-V DV applies constraint-based specification techniques to generate tests.

Genesys-Pro ← implements 90% 3e

Genesys-Pro implements innovations in test program generation for functional processor verification.

Cross-level processor verification via endless randomized instruction stream generation with coverage-guided aging compares with → 90% 2e

The paper discusses constraint-based test generation as a related approach.

Google RISC-V Design Verification (DV) Framework ← uses 95% 1e

Google's RISC-V DV framework uses constraint-based specifications to generate tests.

Google RISC-V Design Verification (DV) Framework ← uses 95% 1e

Google DV framework applies constraint-based specification techniques to generate tests.

Randomized Instruction Stream Generation compares with → 85% 1e

The paper compares constraint-based test generation with randomized instruction stream generation.

LINKED ENTITIES

4 links

Cross-level processor verification via endless randomized instruction stream generation with coverage-guided aging COMPARES_WITH Extracted graph relationship

Google RISC-V Design Verification (DV) Framework USES Extracted graph relationship

MicroTESK IMPLEMENTS Extracted graph relationship

Genesys-Pro IMPLEMENTS Extracted graph relationship

CITATIONS

7 sources

7 citations — click to expand

[1] Constraint-based specifications are discussed as a processor-verification technique in the context of RISC-V-oriented verification. Cross-Level Processor Verification via

[2] The cited DATE 2022 discussion says constraint-based specifications can share limitations with traditional processor-level stimuli generation, including imposing restrictions or operating at a different abstraction level than RTL. Cross-Level Processor Verification via

[3] The paper cites work on generating instruction streams using abstract CSP. Cross-Level Processor Verification via

[4] Genesys-Pro is cited as work on test program generation for functional processor verification. Cross-Level Processor Verification via

[5] MicroTESK is cited as a specification-based tool for constructing test program generators. Cross-Level Processor Verification via

[6] A static randomized instruction generator can favor specific test-state spaces because its randomized strategy does not change over time. Cross-Level Processor Verification via

[7] In the reported comparison, the static randomized generator produced peaks and gaps across instruction-group combinations, while the coverage-guided aging generator produced a more balanced result with every group executed. Cross-Level Processor Verification via