Model based testing

Model-Based Testing is a software testing technique where test cases are automatically generated from a model that describes the expected behavior of the system under test (SUT). Instead of writing test cases manually, testers can create a model, and the tool or framework generates test cases based on that model.

Advantages of MBT

Model-Based Testing (MBT) has strong connections to Artificial Intelligence (AI) in Model Generation, Test Case optimisation, anomaly detection (think Grafana and Datadog as live examples) and more.

Model-based testing uses a flow chart or design (model) to aid in understanding and test design. It's like using a map to find the best way to go on a journey