Model-based Testing - Deploying Model-based Testing

Deploying Model-based Testing

There are various known ways to deploy model-based testing, which include online testing, offline generation of executable tests, and offline generation of manually deployable tests.

Online testing means that a model-based testing tool connects directly to an SUT and tests it dynamically.

Offline generation of executable tests means that a model-based testing tool generates test cases as computer-readable assets that can be later run automatically; for example, a collection of Python classes that embodies the generated testing logic.

Offline generation of manually deployable tests means that a model-based testing tool generates test cases as human-readable assets that can later assist in manual testing; for instance, a PDF document describing the generated test steps in a human tongue.