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STIMSMITH

Random Sequence Generation

Technique

Random Sequence Generation is a verification stimulus technique in which sequences, such as processor instruction sequences, are generated randomly according to structured rules and scenarios. In SystemVerilog-based microprocessor verification, it can improve stimulus quality compared with hand-written directed tests, but simple or purely procedural random sequencing may miss important corner cases and does not fully exploit constraint-based, object-oriented randomization.

First seen 5/28/2026
Last seen 6/5/2026
Evidence 4 chunks
Wiki v1

WIKI

Overview

Random Sequence Generation is a technique for creating verification stimulus by randomly assembling sequences under a structured set of rules and scenarios. In the microprocessor-verification context described by the evidence, SystemVerilog language features such as the SystemVerilog random sequence generator can be used to create random instruction sequences and improve stimulus quality relative to manually authored directed tests. [Random sequence generation definition and purpose]

Use in processor verification

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RELATIONSHIPS

3 connections
SystemVerilog Random Sequence Generator uses → 97% 3e
Random sequence generation is supported by the SystemVerilog random sequence generator feature.
Constraint-Based Randomization ← compares with 90% 1e
Random sequence generation is procedural and does not fully leverage constraint-based randomization.
Object-Oriented Stimulus Generation ← compares with 88% 1e
Random sequence generation is described as procedural and contrasted with object-based randomization.

CITATIONS

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