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(Mirror) Hybrid adaptive distinguishing sequences for FSM-based complete testing
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2015-04-10 15:40:32 +02:00
docs Adds some documentation in latex 2015-03-30 11:40:35 +02:00
java Tested some different learning algorithms. Also updates the counting membership oracle. 2015-04-10 15:40:32 +02:00
lib Makes the project c++11, and removes some auto's 2015-04-08 10:43:04 +02:00
src Removes concurrency as std::future seems to be broken in VS 2013 2015-04-08 11:31:08 +02:00
.gitignore Adds some documentation in latex 2015-03-30 11:40:35 +02:00
CMakeLists.txt Makes the project c++11, and removes some auto's 2015-04-08 10:43:04 +02:00
README.md Adds the java code I use 2015-03-30 17:08:42 +02:00

Yannakakis

An algorithm to construct an adaptive distinguishing sequence for a mealy machine. If it does not exist, a partial sequence will be generated, which is still useful for generating a seperating set (in the sense of Lee and Yannakakis). The partial leaves will be augmented via the classical seperating sequences.

Building

mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=RelWithDebInfo ..
make

Then every .cpp file in the src directory will be built and generate an executable in the build directory. Note that you'll need c++14, but clang in Mac OSX will understand that (and if not, you'll have to update Xcode).

Java

For now the java code, which acts as a bridge between LearnLib and this c++ tool, is included here. But it should earn its own repo at some point. Also, my javanese is a bit rusty...