What is Data Augmentation?
Data Augmentation is a Galtea feature that automatically generates new test cases from a small set of examples. Instead of manually writing hundreds of test cases, you provide a few representative samples and Galtea produces a diverse test suite that preserves the realism, structure, and domain-specific patterns of your original data. It is especially useful when you already have a baseline set of test cases and want to expand your coverage without the overhead of manual creation.Data Augmentation works with all test types — Accuracy, Security & Safety, and Behavior. When triggered, your test enters the
AUGMENTING status while new cases are being generated.How It Works
Galtea goes beyond simple paraphrasing or template filling. The augmentation engine analyzes your existing test cases to understand their structure, detect domain-specific patterns, and plan diverse scenarios — then generates new cases that are realistic, structurally consistent, and cover different ground from each other. The result is a larger, high-quality test suite in minutes instead of days, with full control over the output size.How to Use Data Augmentation
You can augment any existing test directly from the Galtea dashboard:See Also
- Tests — Learn about tests and test types in Galtea
- Test Cases — Understand the structure of individual test cases