Model based testing is a testing technique that uses formal or semi-formal models to represent the expected behavior of a software system. These models define how the system transitions between different states based on inputs and events, providing a clear blueprint of valid behavior. Test cases are then automatically generated from these models, reducing the reliance on manually written tests.

A major advantage of model based testing is improved coverage. Because tests are derived from all possible paths defined in the model, it becomes easier to validate complex workflows and edge cases that may be overlooked in traditional testing approaches. This is especially valuable for systems with intricate logic, multiple states, or complex user interactions.

Model based testing also enhances maintainability. When requirements or system behavior change, updating the model automatically reflects those changes in the generated test cases. This reduces test maintenance effort and helps keep tests aligned with current system behavior.
By focusing on behavior rather than implementation, model based testing supports reliable, scalable testing and contributes to higher overall software quality.