You can highlight coverage results in blocks and subsystems to visualize gaps in testing. To generate a model coverage report, specify the desired options on the coverage results pane in the configuration parameters dialog box. Display model coverage results with model coloring. These test cases drive your model to satisfy condition, decision, modified conditiondecision mcdc, and custom coverage objectives. The model you are testing must be on the matlab path or be in the current working folder. You can also view coverage results for stateflow state charts and matlab function blocks used in your simulink models.
The model you are testing must be on the matlab path or. The coverage results explorer offers various functionality for processing, displaying, and reporting coverage results from previous simulations of your model. The model coverage report contains several sections. The tool adds 1 to the complexity number for atomic subsystems and stateflow char. However, this is planned for a future release as several people have requested this functionality. Determine the extent to which a model test case exercises simulation control flow paths through a model. For stateflow charts, the simulink coverage software records the execution of the chart itself and the execution of states, transition decisions, and. This example shows how to increase test coverage beyond an initial test case. Simulink coverage lets you measure coverage for code generated from simulink models or code within a model. The simulink coverage software simulates a simulink model and reports model coverage data for the decisions and conditions of code in matlab function blocks. Collect cumulative model coverage from successive simulation runs. Learn about the system requirements for simulink coverage.
On the relationship between model coverage and code coverage using matlab s simulink. Review coverage information for the model in generated reports and in highlighted models to identify missing coverage and navigate to the associated requirements. Simulink coverage performs model and code coverage analysis that measures testing completeness in models and generated code. Pdf on the relationship between model coverage and code. Produce html report from model coverage objects matlab. Code coverage with simulink test matlab answers matlab. You first collect code coverage for an example model configured for softwareintheloop sil simulation mode.
Mathworks produces nearly 100 additional products for specialized tasks. Display coverage map matlab coverage mathworks italia. Longleyrice models overtherooftops propagation along vertical slices and obstructions tend to dominate the coverage region. You can justify missing coverage to let you focus on the design elements that you currently intend to test. The model must be open when you use cvhtml to generate its coverage report. Is there a difference between model coverage and code coverage for stateflow models. Measure test coverage in models and generated code. Model coverage calculates how much a model test case exercises simulation pathways through a model. Simulink design verifier generates test cases for model coverage and custom objectives to extend existing requirementsbased test cases. Collect model coverage data measure model coverage to indicate untested elements of your design during simulation. N is the number of decision points that the object represents and o n is the number of outcomes for the nth decision point. Simulink is a graphical environment for simulation and modelbased design of multidomain dynamic and embedded systems. Downloads trial software contact sales pricing and licensing how to buy.
To add coverage data to a model, simulate the model with coverage enabled. The simulink coverage software simulates a simulink model and reports model coverage data for the decisions and conditions of code in matlab function. On the relationship between model coverage and code coverage using matlabs simulink. If you installed simulink coverage on your system and are using the model coverage tool, the run all button configures the tool to collect and save coverage data for each simulation in the matlab workspace and display a report of the combined coverage results at the end of the last simulation. Collect coverage data measure model and code coverage to indicate untested elements of your design simulink coverage measures model coverage and code coverage to indicate untested elements of your design, such as logical conditions, unintended functionality, and switch positions during simulation.
Model coverage metrics provided by simulink coverage. Collect code coverage data measure coverage for code generated from a simulink model or code within a simulink model to indicate untested elements of your design during simulation. This example shows how to use the configuration parameters dialog to enable coverage for a simulink model and adjust the type of information that is. For a web view to include the coverage data, you must also select save last run in workspace variable in the coverage results pane of the configuration parameters dialog box. The outcome of each model coverage point in this example model is a test objective. Simulink coverage performs model and code coverage analysis that measures. Simulink coverage measures model coverage and code coverage to indicate untested elements of your design, such as logical conditions, unintended. The calculation considers a vectorized operation or a multiport switch block as a single decision point.
Enter the name of a cvdata object associated with a simulation. Use model coverage for matlab function blocks and interpret the results. Model coverage helps you validate your model tests by measuring how thoroughly the model objects are tested. View coverage results in a model overview of model coverage highlighting. Click the generate report link at the bottom of the coverage results explorer window. Save the coverage data from simulation in a matlab. Model coverage only supports coverage for matlab functions configured for code generation for example, consider the following if statement. Simulink design verifier allows you to identify design errors and to generate test case scenarios for model checking.
This allows you to quickly determine how well a set. Model coverage for matlab functions about model coverage for matlab functions. Create a coverage map of the city using the ray tracing image method propagation model. The matlab r2017a is a highperformance language which is mostly used for technical computing and integration of computation, visualization, and programming in an easytouse environment. Simulink coverage documentation mathworks italia matlab. Matlab r2017b is highperformance technical computing language developed by mathworks. If your tests achieve incomplete model coverage, you can increase coverage by generating test inputs using simulink design verifier. Simulink coverage measures model coverage and code coverage to indicate untested elements of your design, such as logical conditions, unintended functionality, and switch positions during simulation. Create and run test cases by using the model coverage matlab commands cvtest and cvsim. Run cvmodelview to color the model objects for which you collect model coverage information.
It is a measure of how thoroughly a test case tests a model and the percentage of pathways that a test case exercises. It applies industrystandard metrics such as decision, condition, modified conditiondecision coverage mcdc, and relational boundary coverage to assess the effectiveness of simulation testing in models, softwareintheloop sil, and processorintheloop pil. The table in model objects that receive coverage lists which objects receive which types of model coverage. Finally, you execute the generated test cases in sil simulation mode to verify the complete coverage. A test case achieves full coverage when it causes each input to each instance of a logic block in the model and each condition on a transition to be true at least. This matlab function displays coverage results from the cvdata object cvdo by coloring the objects in the model that have model coverage results. This produces an html report of coverage information that displays within the builtin matlab web. Model coverage for multiple instances of a referenced model. Some simulink objects support mcdc coverage, some objects support only condition coverage, and some objects support only decision coverage. For example, the combinatorial logic block can receive decision coverage and condition coverage. Include model requirements and coverage data in a web view. How model coverage reports work for stateflow charts.
Run the command by entering it in the matlab command window. Detect untested elements of your design using model coverage in simulink verification and validation. Simulink coverage performs model and code coverage analysis that measures testing. Model coverage analyzes the execution of the following types of model objects that directly or indirectly determine simulation.
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