Block-wise Test Case Generation

Concept

Block-wise test case generation is a hardware fuzzing technique that iteratively constructs test programs by concatenating carefully chosen instruction blocks, balancing inter- and intra-instruction quality to enable structured, semantics-aware input refinement for vulnerability and coverage exploration.

First seen 6/14/2026

Last seen 6/14/2026

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WIKI

Block-wise Test Case Generation

Overview

Block-wise test case generation is a structured approach to constructing test inputs for hardware fuzzing. Rather than relying on random mutation of full instruction sequences or ad-hoc refinement, it assembles test cases by iteratively selecting and concatenating pre-defined instruction blocks — coherent units of one or more instructions — into a complete test program. The selection process is guided to balance inter-instruction qualities (how blocks interact when composed) and intra-instruction qualities (the internal characteristics of each block).

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RELATIONSHIPS

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instruction block uses → 100% 2e

Block-wise test case generation builds test cases from instruction blocks.

GoldenFuzz ← implements 100% 2e

GoldenFuzz introduces a block-wise test case generation scheme.

LINKED ENTITIES

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GoldenFuzz IMPLEMENTS Extracted graph relationship

instruction block USES Extracted graph relationship

CITATIONS

5 sources

5 citations — click to expand

[1] Block-wise test case generation iteratively constructs test cases by concatenating carefully chosen instruction blocks. GoldenFuzz: Generative Golden Reference Hardware Fuzzing

[2] The approach balances the subtle inter- and intra-instruction quality when selecting blocks. GoldenFuzz: Generative Golden Reference Hardware Fuzzing

[3] Existing hardware fuzzers previously relied on random mutations or heuristics and refined test cases in an ad-hoc manner, motivating a structured, block-based generation approach. GoldenFuzz: Generative Golden Reference Hardware Fuzzing

[4] A feedback-driven mechanism leveraging insights from high- and low-coverage samples enhances hardware state exploration when using block-wise test case construction. GoldenFuzz: Generative Golden Reference Hardware Fuzzing

[5] Block-wise generation contributes to achieving the highest coverage with minimal test case length and computational overhead on RISC-V processors. GoldenFuzz: Generative Golden Reference Hardware Fuzzing