Data-Driven Test Development in AIQ
Last reviewed: September 30, 2026
Use this article to plan AIQ tests that separate reusable scenario logic from controlled test data.
What changed in this article
- Modernized the broad data-driven testing article around Scenario Editor and AIQ data sources.
- Added guidance for choosing CSV, DPL, service responses, or integration-provided data based on ownership and refresh needs.
- Added validation checks for row coverage, negative cases, cleanup, deterministic replay, and report traceability.
Validation workflow
- Identify which values belong in the scenario and which should come from controlled data sources.
- Choose the data source that matches the refresh, security, and ownership requirements.
- Run at least one positive, negative, and boundary row and confirm each row is visible in results.
Review note: This article now acts as planning guidance instead of a generic data-driven testing overview.
Last updated: September 30, 2026
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