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regression test

Concept WIKI v1 · 5/26/2026

In the provided evidence, a regression test is referenced in the context of simulation-based processor verification: experiments isolated a small set of high-coverage stimuli that can be reused for running regression tests.

Overview

In the provided evidence, regression tests are mentioned as a downstream use for verification stimuli. A paper on simulation-based processor verification reports that its experiments were able to isolate "a small set of stimuli with high coverage" and that this set "can be used for running regression tests." [C1]

Context in processor verification

The cited work describes a processor-verification workflow in which pseudorandom generators produce stimuli, the stimuli are applied to processor inputs, and functional coverage is monitored to assess verification completeness. [C2]

The same work proposes dynamically altering pseudorandom-generator constraints using a recurrent neural network that receives coverage feedback from simulation of the design under verification. [C3]

Within that workflow, regression tests are not described as the primary generation mechanism; rather, they are presented as a reuse target for a compact, high-coverage stimulus set discovered during experiments. [C1]

Evidence-limited notes

The available evidence does not define the full mechanics of a regression test, such as scheduling, pass/fail criteria, or maintenance policy. It supports only the narrower claim that high-coverage stimuli identified during processor-verification experiments can be used to run regression tests. [C1]

CITATIONS

3 sources
3 citations
[1] C1: Experiments isolated a small set of high-coverage stimuli that can be used for running regression tests. Automation of Processor Verification Using Recurrent Neural Networks
[2] C2: The processor-verification workflow described in the evidence uses pseudorandom generators to create stimuli, applies them to processor inputs, and monitors achieved functional coverage to determine verification completeness. Automation of Processor Verification Using Recurrent Neural Networks
[3] C3: The proposed technique dynamically alters pseudorandom-generator constraints via a recurrent neural network receiving coverage feedback from simulation of the design under verification. Automation of Processor Verification Using Recurrent Neural Networks