Skip to content
STIMSMITH

Constraint Satisfaction for Random Test Program Generation

Technique WIKI v1 · 6/25/2026

A technique that models the generation of random test programs as a constraint satisfaction problem, enabling systematic exploration of instruction sequences while satisfying architectural and semantic constraints. It was introduced by Bin, Emek, Shurek, and colleagues for processor verification and is cited as a foundational reference in subsequent test-sequence generation methods.

Overview

Constraint satisfaction for random test program generation is a verification-oriented technique in which the construction of random test programs is formulated and solved as a constraint satisfaction problem. Rather than producing test programs by unrestricted randomness, the approach imposes formal constraints that capture architectural and semantic requirements of the design under test, and then uses constraint solvers to produce programs that satisfy those constraints while still exhibiting randomized characteristics.

Origin and Citation

The technique is introduced and named in the paper:

  • Bin E., Emek R., Shurek G., et al. Using a constraint satisfaction formulation and solution techniques for random test program generation. IBM Systems Journal, 2002, 41(3): 386–402. DOI: 10.1147/sj.413.0386.

The work is referenced (as reference [17]) in later test-program-generation literature, including work on RISC-V test sequence generation, where it serves as a baseline technique for generating instruction sequences that respect processor semantics.

Related References

  • Reference [18] in the same citing literature: Herdt V., Große D., Le H. M., et al. Verifying instruction set simulators using coverage-guided fuzzing. DATE 2019, 360–365 — represents an alternative, fuzzing-based approach to instruction-set verification that is often compared with constraint-based random generation.
  • Reference [19]: Xi Y., Zhang Z., Wang Y., et al. A heterogeneous RISC-V SoC for confidential computing and password recovery. ICICM 2022, 500–504 — an unrelated application paper that nevertheless appears in the same bibliography.

Applications

The technique is associated with processor and instruction-set verification, where generating valid yet randomized instruction sequences is critical for exercising corner cases of the microarchitecture while avoiding trivially invalid programs that waste simulation cycles.

LINKED ENTITIES

1 links
Using a constraint satisfaction formulation and solution techniques for random test program generation INTRODUCES

CITATIONS

2 sources
2 citations
[1] The technique is introduced by Bin, Emek, Shurek et al. in IBM Systems Journal, 2002, 41(3): 386–402, DOI 10.1147/sj.413.0386. A RISC-V Test Sequences Generation Method Based on Instruction ...
[2] The paper is cited as reference [17] in subsequent RISC-V test sequence generation literature. A RISC-V Test Sequences Generation Method Based on Instruction ...