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STIMSMITH

coverage-driven generation

Technique
First seen 6/18/2026
Last seen 6/18/2026
Evidence 5 chunks

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RELATIONSHIPS

4 connections
StimulusRL ← uses 95% 2e
StimulusRL targets coverage-driven generation as its core methodology.
GraphCov ← implements 90% 2e
GraphCov uses RTL graph-based biasing for coverage-driven test generation.
The paper applies coverage-driven generation methodology through the StimulusRL framework.
Bayesian network stimulus generation ← implements 90% 1e
Early coverage-driven generation work used Bayesian networks to steer test generation.