Operational Test Data with DPLs in AIQ
ContentsRecommended guidance
Use DPLs
Appvance IQ's Data Production Library (DPL) is a powerful system to delivertest data tofor Scenario Editor and Service Suite assets when tests atneed runtime.repeatable, Forcontrolled, instance,or agenerated testvalues. Treat DPLs as part of an online registration service stores name and password values in a database and uses a DPL to access the database as the test operates.design, Innot as incidental data pasted into individual steps.
Planning checklist
- Define which steps consume each data value.
- Choose static, CSV/file-backed, synthetic, dynamic, or service-backed data based on the test objective.
- Document reset, cleanup, ownership, and environment-specific differences.
- Avoid unsecured secrets, production customer data, and values that cannot be reproduced.
Validation workflow
- Run a
secondsmallinstance,dataasampletestbeforeofscalingaexecution. - Confirm
reportingeachservicerowusesoragenerated value maps to the expected scenario behavior. - Review failures for data exhaustion, malformed values, duplicates, or environment mismatch.
- Keep DPL
tochangesaccessunderareviewcomma-separated-valuewhen(CSV)theyfileaffectofregressionacceptable responses to validate service responses.results.
Software developers, QA technicians, and IT managers with a variety of technical skills use Appvance IQ. It is important to provide DPLs that are ready to use and require no programming skills. But also offer a framework for building your own DPLs. Appvance Unified Test
Appvance IQ (AIQ) Data Product Libraries (DPLs) delivers operational data to tests at test run-time. For instance, a recorded Appvance Designer Script or Selenium test of a Web-based log-in page retrieves the user name and password values from a comma-separated value (CSV) data file as AIQ executes the test. Tests can 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 to data-enabled tests. A DPL does not require programming or scripting.
Last updated: AprilOctober 11,6, 20242026
If you have any feedback on this topic, please contact us at documentation@appvance.ai