While reactor-cpp can be used as a standalone framework, it is designed to work in conjunction with Lingua Franca, a polyglot metaprogramming language. Have a look at the Lingua Franca wiki to get an overview of the Reactor model. If you are working with AUTOSAR Adaptive Platform (AP), also have a look at the DEAR framework, which in conjunction with reactor-cpp allows to implement AP Services using the reactor model.
mkdir build
cd build
cmake ..
make
The examples need to be built explicitly. Alternatively, take a look at the CONTRIBUTING.md for building with nix package manager.
reactor-cpp can be built with tracing support](https://github.com/lf-lang/reactor-cpp/tree/master/tracing). This provides a powerful tool for analyzing and debugging reactor applications.
For general guidelines about contributing, see CONTRIBUTING.md.
A live version of the latest commit on master is automatically deployed and available online. For tests and other purposes, you can also build the documentation locally.
First doxygen needs to be installed. On Ubuntu or Debian, run: Further, we need several Python packages. Assuming that both python3 and pip3 are set up, run
pip3 --user install -r doc/requirements.txt
If python3 is the default on your system, run:
pip --user install -r doc/requirements.txt
Now we can build the documentation with:
make html
This will output the project documentation in doc
/build/html`.
- DATE'20: Christian Menard, Andrés Goens, Marten Lohstroh, Jeronimo Castrillon, Achieving Determinism in Adaptive AUTOSAR, Proceedings of the 2020 Design, Automation and Test in Europe Conference (DATE), EDA Consortium, Mar 2020. Also, see the Lingua Franca publications.