Model-based testing (MBT) is a software testing technique that uses models of the software system under test to automatically generate and execute test cases. The models used in MBT can be of different types, such as state diagrams, decision tables, flowcharts, or UML models. These models describe the expected behavior and interactions of the software components and can be used to generate test cases that cover all possible scenarios.
The main goal of model-based testing is to improve test coverage and reduce the time and effort required for manual test case design and execution. It also helps detect defects earlier in the development cycle, which can reduce the cost of fixing them. MBT can be applied to different software testing levels, such as unit testing, integration testing, and system testing.
The process of model-based testing typically involves the following steps:
Model creation: Create a model of the software system under test that describes its behavior and interactions. This model is typically created using a modeling language or tool.
Test case generation: Use the model to generate test cases automatically that cover all possible scenarios. The test cases are designed to validate the behavior of the software components and ensure that they meet the specified requirements.
Test execution: Execute the generated test cases and record the results. The test execution can be performed manually or automated using a testing tool.
Analysis and reporting: Analyze the results of the test cases and generate reports that provide insight into the software's performance and behavior. The reports can be used to identify defects and performance issues that need to be addressed.
MBT is a powerful software testing technique that can help organizations improve their testing efficiency and effectiveness by generating test cases automatically and increasing test coverage. It can be used to test different types of software, such as embedded systems, web applications, and mobile apps.