Data fabrication

Data fabrication is the process of creating synthetic test data that mimics real-world information without exposing actual user or production data. It allows testers to simulate various testing scenarios using structured, configurable, and reusable datasets. In HCL DevOps Test Hub (Test Hub), this process involves defining data structures, applying generation logic through built-in or custom generators, and producing test-ready datasets that enhance both test coverage and data privacy.

Before you start using the data fabrication feature, you can review the information in Overview of data fabrication.

The data fabrication feature in Test Hub provides the following advantages:

• You can generate large volumes of test data, saving significant time compared to manual creation.

• You can configure data generation rules and patterns to produce a diverse range of test data for different testing needs.

• You can maintain data privacy by generating test data that does not use or expose any real user or production data.

• You can reuse fabricated data across multiple test cases, ensuring consistency and reducing redundancy in test assets.