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Show numerical equivalence between MATLAB® code and generated code

Use software-in-the-loop (SIL) and processor-in-the-loop (PIL) execution to check the numerical behavior of the code that you generate from MATLAB functions. A software-in-the-loop (SIL) execution compiles generated source code and executes the code as a separate process on your development computer. A PIL execution, which requires a target connectivity configuration, cross-compiles generated source code, and then downloads and runs object code on your target hardware. You can verify the numerical behavior by comparing the results from the SIL or PIL execution against the results from the original MATLAB functions.

You can generate traceable code, which helps you to check the absence of unintended functionality, understand how the generated code implements your algorithm, and evaluate the quality of the generated code.


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rtw.connectivity.ComponentArgsProvide parameters for each target connectivity component
rtw.connectivity.ConfigDefine connectivity implementation that comprises builder, launcher, and communicator components
rtw.connectivity.ConfigRegistryRegister connectivity configuration
rtw.connectivity.LauncherControl downloading, starting, and resetting of a target application
rtw.connectivity.MakefileBuilderConfigure toolchain-based build process
rtw.connectivity.RtIOStreamHostCommunicatorConfigure development computer communications with target processor
rtw.pil.RtIOStreamApplicationFrameworkConfigure target-side communications
coder.EmbeddedCodeConfigConfiguration parameters for C/C++ code generation from MATLAB code with Embedded Coder


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instrumentCodeAdd instrumentation to generated code to perform execution time / memory usage profiling and analyze code coverage (Since R2023a)
getCodeCoverageDataExtract coverage data for generated C/C++ code and custom C/C++ code (MATLAB code generation) (Since R2023a)
coder.hardwareCreate hardware board configuration object for C/C++ code generation from MATLAB code
rtIOStreamCloseShut down communications channel
rtIOStreamOpenInitialize communications channel
rtIOStreamRecvReceive data through communication channel
rtIOStreamSendSend data through communication channel
rtiostreamtestTest custom rtiostream interface implementation
rtiostream_wrapperTest rtiostream shared library functions in MATLAB
piltestVerify custom target connectivity configuration for MATLAB PIL execution


SIL and PIL Testing

Code Tracing

Polyspace Verification

Report Generation