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STIMSMITH

Constrained-Random Scenario

Concept

A constrained-random scenario is a stimulus-generation scenario that randomizes items under explicit constraints. In the cited microprocessor-verification example, it can restrict a long instruction sequence to computational operations, and it is one of three scenario types handled by a scenario generator.

First seen 5/28/2026
Last seen 5/31/2026
Evidence 2 chunks
Wiki v2

WIKI

Definition

A constrained-random scenario is a test stimulus scenario that uses randomization while applying explicit constraints to the generated items. In the microprocessor-verification example, a constrained-random scenario can focus a long instruction sequence on arithmetic operations by constraining all operations to the computational kind and excluding branches, loads, and stores.

Role in stimulus generation

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RELATIONSHIPS

2 connections
Scenario Generator ← uses 95% 2e
The scenario generator works with constrained-random scenarios, selecting and randomizing them to produce stimulus.
SystemVerilog uses → 93% 1e
Constrained-random scenarios are described using SystemVerilog constraint syntax.

CITATIONS

4 sources
4 citations — click to collapse
[1] A constrained-random scenario randomizes stimulus while applying explicit constraints, such as limiting a long instruction sequence to computational operations and excluding branches, loads, and stores. Applying Constrained-Random Verification to Microprocessors
[2] Constrained-random scenarios are one of three scenario types for processor stimulus generation, alongside directed-random and directed scenarios. Applying Constrained-Random Verification to Microprocessors
[3] A scenario generator can work with these scenario types by randomly selecting and randomizing one scenario from a set until a user-specified condition is reached. Applying Constrained-Random Verification to Microprocessors
[4] The source describes SystemVerilog constraints over a dynamic array of instruction objects, including the use of `foreach` array constraints for scenario-related constraints. Applying Constrained-Random Verification to Microprocessors