Data-Driven Test Development in AIQ

Last reviewed: September 30, 2026

Use this article to plan AIQ Datatests Productionthat Libraryseparate (DPL)reusable deliversscenario operationallogic from controlled test data.

What changed in this article

• Modernized the broad data-driven testing article around Scenario Editor and AIQ data tosources.
• Added testsguidance 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 testleast run-time.one Forpositive, instance,negative, aand recordedboundary Seleniumrow testand confirm each row is visible in results.

Review note: This article now acts as planning guidance instead of a Web-based log-in page retrieves the user name and password values from a comma-separated value (CSV) data file as AIQ operates the test. Tests use DPL provided data not only as input values but also to validate the application's function.

The AIQ DPL system provides a simple and easy way togeneric data-enableddriven tests.testing A DPL does not require programming or scripting. And it is a flexible framework that permits you to add your own DPLs to meet your organization's specific needs.overview.

See Operational Test Data with DPL's for more information.