Simulink design verifier generates test cases for model coverage and custom objectives to extend existing requirementsbased test cases. On the relationship between model coverage and code coverage using matlabs simulink. You can also view coverage results for stateflow state charts and matlab function blocks used in your simulink models. When you simulate a simulink model, you can configure your model to provide visual results that enable you to see which objects failed to record 100% coverage.
Simulink coverage performs model and code coverage analysis that measures. How model coverage reports work for stateflow charts. The simulink coverage software simulates a simulink model and reports model coverage data for the decisions and conditions of code in matlab function blocks. You first collect code coverage for an example model configured for softwareintheloop sil simulation mode. The model coverage report contains several sections. These test cases drive your model to satisfy condition, decision, modified conditiondecision mcdc, and custom coverage objectives.
Save the coverage data from simulation in a matlab. 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. Simulink coverage measures model coverage and code coverage to indicate untested elements of your design, such as logical conditions, unintended. Measure test coverage in models and generated code. 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. The tool adds 1 to the complexity number for atomic subsystems and stateflow char.
Run cvmodelview to color the model objects for which you collect model coverage information. Downloads trial software contact sales pricing and licensing how to buy. Model coverage only supports coverage for matlab functions configured for code generation for example, consider the following if statement. Include model requirements and coverage data in a web view. Display model coverage results with model coloring. Pdf on the relationship between model coverage and code.
Matlab r2017b is highperformance technical computing language developed by mathworks. Model coverage helps you validate your model tests by measuring how thoroughly the model objects are tested. Is there a difference between model coverage and code coverage for stateflow models. Determine the extent to which a model test case exercises simulation control flow paths through a model. Click the generate report link at the bottom of the coverage results explorer window. You can justify missing coverage to let you focus on the design elements that you currently intend to test. This allows you to quickly determine how well a set. You can highlight coverage results in blocks and subsystems to visualize gaps in testing. The model must be open when you use cvhtml to generate its coverage report. 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. On the relationship between model coverage and code coverage using matlab s simulink. Create a coverage map of the city using the ray tracing image method propagation model.
Model coverage calculates how much a model test case exercises simulation pathways through a model. The table in model objects that receive coverage lists which objects receive which types of model coverage. Review coverage information for the model in generated reports and in highlighted models to identify missing coverage and navigate to the associated requirements. To generate a model coverage report, specify the desired options on the coverage results pane in the configuration parameters dialog box.
Create and run test cases by using the model coverage matlab commands cvtest and cvsim. Longleyrice models overtherooftops propagation along vertical slices and obstructions tend to dominate the coverage region. This produces an html report of coverage information that displays within the builtin matlab web. The coverage results explorer offers various functionality for processing, displaying, and reporting coverage results from previous simulations of your model. The outcome of each model coverage point in this example model is a test objective. To assess testing completeness, you can accumulate coverage data from. If you configure simulink design verifier to generate the fewest test cases, it will satisfy as. Simulink design verifier allows you to identify design errors and to generate test case scenarios for model checking. The model you are testing must be on the matlab path or be in the current working folder. Simulink coverage performs model and code coverage analysis that measures testing. Matlab, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Collect cumulative model coverage from successive simulation runs.
For example, the combinatorial logic block can receive decision coverage and condition coverage. 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. Sep 30, 2015 simulink verification and validation is the tool which allows you to collect model coverage, but not code coverage for autogenerated code. Collect model coverage data measure model coverage to indicate untested elements of your design during 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. 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. At the end of the simulation, the model coverage tool produces an html report of coverage information, which is displayed in the builtin matlab web browser. Mathworks produces nearly 100 additional products for specialized tasks. Simulink coverage documentation mathworks italia matlab. Finally, you execute the generated test cases in sil simulation mode to verify the complete coverage. Model coverage metrics provided by simulink coverage. For stateflow charts, the simulink coverage software records the execution of the chart itself and the execution of states, transition decisions, and. However, this is planned for a future release as several people have requested this functionality. This example shows how to increase test coverage beyond an initial test case.
The calculation considers a vectorized operation or a multiport switch block as a single decision point. N is the number of decision points that the object represents and o n is the number of outcomes for the nth decision point. Use model coverage for matlab function blocks and interpret the results. The simulink coverage software simulates a simulink model and reports model coverage data for the decisions and conditions of code in matlab function. View coverage results in a model overview of model coverage highlighting. Model coverage analyzes the execution of the following types of model objects that directly or indirectly determine simulation. 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. Learn about the system requirements for simulink coverage. Code coverage with simulink test matlab answers matlab. Model coverage for multiple instances of a referenced model. Simulink coverage lets you measure coverage for code generated from simulink models or code within a model. Produce html report from model coverage objects matlab. This matlab function displays coverage results from the cvdata object cvdo by coloring the objects in the model that have model coverage results.
To add coverage data to a model, simulate the model with coverage enabled. If your tests achieve incomplete model coverage, you can increase coverage by generating test inputs using simulink design verifier. The model you are testing must be on the matlab path or. 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.
Enter the name of a cvdata object associated with a simulation. Once you enable coverage data collection, coverage information is automatically recorded when you simulate the model. Some simulink objects support mcdc coverage, some objects support only condition coverage, and some objects support only decision coverage. Model coverage for matlab functions about model coverage for matlab functions. Simulink coverage performs model and code coverage analysis that measures testing completeness in models and generated code. Display coverage map matlab coverage mathworks italia. Simulink is capable of systematic verification and validation of models through modelling style checking, requirements traceability and model coverage analysis. During a simulation run, the tool records the behavior of the covered. Simulink is a graphical environment for simulation and modelbased design of multidomain dynamic and embedded systems. 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. This example shows how to generate test cases that achieve complete model coverage for a debouncer. 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.
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