Using AI for exploratory testing via mutations in automated UAT
JoeJustice · x · 2026-08-23
Addressing the need for manual E2E testing, a workflow is proposed: document user flows as stories, build automated UAT to mimic behavior, and use AI to introduce randomization and mutations for exploratory testing. The pass rate of these flows (e.g., 1% progress per passed flow) serves as the key metric for project status and Definition of Done (DoD).
Related event: Experts Recommend AI-Powered Automated UAT to Replace Manual E2E Testing(2 posts)→
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