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RISC-V Torture Test Generator

Tool

RISC-V Torture Test Generator is represented in the available evidence as the “RISC-V Torture” test/generator baseline evaluated in the paper “Verifying Instruction Set Simulators using Coverage-guided Fuzzing.” In that evaluation, RISC-V Torture test sets of 1,000, 5,000, and 10,000 cases were compared with RISC-V ISA Tests and a coverage-guided fuzzing approach for RISC-V instruction-set-simulator verification.

First seen 5/26/2026
Last seen 6/8/2026
Evidence 15 chunks
Wiki v2

WIKI

Overview

RISC-V Torture Test Generator is identified in the available evidence through the “RISC-V Torture” rows of the evaluation table in the paper “Verifying Instruction Set Simulators using Coverage-guided Fuzzing.” The table categorizes these rows under “Tests / Generator” and reports results for RISC-V Torture configurations of 1,000, 5,000, and 10,000 test cases.[C1]

The evidence does not describe the generator’s internal algorithm, input language, output format, repository, license, or supported RISC-V extensions. It supports only its use as an evaluated RISC-V test/generator baseline in the paper’s RISC-V instruction-set-simulator verification study.[C1][C2]

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NEIGHBORHOOD

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RELATIONSHIPS

6 connections
The paper integrates RISC-V Torture Test Generator for comparison in the evaluation.
RISC-V uses → 90% 2e
RISC-V Torture Test Generator generates test cases for RISC-V processors.
The paper mentions the RISC-V Torture Test Generator as a related but more limited tool.
The paper compares its CGF approach against the RISC-V Torture test generator.
The paper mentions the RISC-V Torture Test Generator as a related tool for RISC-V verification.
Instruction Sequence uses → 90% 1e
The RISC-V Torture test generator generates valid instruction sequences.

CITATIONS

2 sources
2 citations — click to collapse
[1] The paper’s evaluation table lists RISC-V Torture as a Tests/Generator baseline with 1,000, 5,000, and 10,000 test-case configurations and reports time, coverage, and error-finding results for each. Verifying Instruction Set Simulators using Coverage-guided Fuzzing
[2] The case study concerns RISC-V ISS verification, builds a coverage-guided fuzzing approach on libFuzzer, verifies an RV32IMA ISS from a RISC-V virtual prototype, and uses Spike and Forvis as reference ISSs. Verifying Instruction Set Simulators using Coverage-guided Fuzzing