**Model-based testing** is a software testing technique that uses a model to generate tests. A **model** is a description of a system's behavior. In model-based testing, the run-time software's behavior is evaluated according to the tests generated by the model. 

Some examples of a model include the following: 

The model-based testing technique describes how a system should behave in response to an action that is determined by a model. This concept is illustrated in the diagram below:

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## Advantages
Model-based testing is a crucial part of the software testing process due to its many benefits. Some of these benefits include:

* Allowing exhaustive testing.
* Both time and cost-effective.
* Ensures early detection of defects/bugs in the software. 
* Can be done on different machines. 
* If the model is modified, the changes can easily be tested. 


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## Disadvantages
Despite the numerous benefits of model-based testing, there are a few challenges associated with it. These include the following: 

* If the model is modified, it can result in a new set of test cases. 
* The testing team must be skilled to perform this testing and hence, a learning curve is introduced. 
* The model needs to be formally specified before testing can take place. 

What is model-based testing?

Model-based testing generates tests using a system behavior model, offering thorough, cost-effective, early defect detection, yet requires skilled testers and formal model specification.