Simulink® Coverage™ performs model and code coverage analysis that measures testing completeness in models and generated code. It applies industry-standard metrics such as decision, condition, modified condition/decision coverage (MCDC), and relational boundary coverage to assess the effectiveness of simulation testing in models, software-in-the-loop (SIL), and processor-in-the-loop (PIL). You can use missing coverage data to find gaps in testing, missing requirements, or unintended functionality.
Simulink Coverage produces interactive reports showing how much of your model, C /C++ S-functions, MATLAB® functions, and code generated by Embedded Coder® has been exercised. You can highlight coverage results in blocks and subsystems to visualize gaps in testing. To assess testing completeness, you can accumulate coverage data from multiple test runs. You can apply filters to exclude blocks from coverage and justify missing coverage in reports.
Learn the basics of Simulink Coverage
Measure model and code coverage to indicate untested elements of your design
Generate coverage reports, view coverage highlighting in model, filter coverage collection results
Customize and automate model coverage collection
Use Simulink products to test models and code, check for design errors, check against standards, measure coverage, and validate the system
Qualify Simulink Coverage for DO and IEC certification