You can test your model in previous versions of MATLAB® by selecting previous releases in the test case. You can increase throughput for large test suites, iterations, and large Simulink® models by using parallel execution. To help you assess the extensiveness of your test, collect coverage. Extend coverage by adding test cases or generating test cases using Simulink Design Verifier™.
Control animation, set breakpoints, track data values, and control stepping.
Use coverage measurement to assess the extent of your tests.
Analyze functional dependencies, test model components in isolation, create suites of test cases, test models and code to achieve coverage.
Compare simulation to baseline data using a parameter override and the Test Manager.
Run test cases in multiple releases, for example, releases that do not have Test Manager.
Decrease test time using Parallel Computing Toolbox™ or MATLAB Parallel Server™.
Use a simulation test case to test an anti-lock brake system for simulation run-time errors.
Tag tests for selective test execution and results filtering, reorder test cases and suites.
Test simulation output against a baseline.
Perform SIL verification programmatically using test harnesses and the Simulation Data Inspector.
Use generated code that was verified using SIL/PIL in previous release to verify code in current release.
Create and run an equivalence test to compare normal simulation and SIL/PIL code generation output.
Test integration with MATLAB test scripts.
Test code integrated in a Simulink model using C Caller blocks or S-Functions.