Model-Based API Testing

Take the complexity out of testing complex APIs

Watch this short example of testing an IBAN validation service to see how you can:

1. Rapidly model the positive and negative journeys to every possible end-point in an API call, using accelerators and importers to reflect every test scenario in easy-to-use flowchart models.

2. Find or make the test data combinations needed to exercise every scenario, using both dynamic synthetic data functions and high-speed routines for finding Requests in back-end databases.

3. Generate the smallest set of test cases needed to exercise every logically distinct journey, using mathematical algorithms to compile the data needed to exercise them.

4. Create executable, parameterised tests automatically in API Fortress, pushing optimised test data from Test Modeller to the API test composer.

5. Test complex chains of API calls rapidly and rigorously, simply dragging-and-dropping subprocesses together to compile an optimised set of test scenarios.

With this approach, your API testing team can:

1. Avoid delays associated with slow and linear API test creation, while identifying every positive and negative scenario needed to assure the quality of APIs fully.

2. Eliminate bottlenecks associated with test data constraints, automatically linking every test to data that resolves “just in time” during execution.

3. Test more logic in fewer tests, shortening test runs while still detecting more defects earlier, and at less effort to fix.

4. Simplify API test creation, inputting data into API Fortress to identify test parameters and execute the rigorous tests.