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

1. Identify which values belong in the scenario and which should come from controlled data sources.
2. Choose the data source that matches the refresh, security, and ownership requirements.
3. 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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