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(Mirror) Hybrid adaptive distinguishing sequences for FSM-based complete testing
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2015-04-20 14:14:10 +02:00
docs Adds some docs and a tool to create the dot files for splitting trees and ad. dist. seqs. 2015-04-17 16:08:26 +02:00
java Incorporates some changes by Wouter. 2015-04-10 16:08:11 +02:00
lib Alters the splitting tree to be minimal (for the W-method) 2015-04-20 14:14:10 +02:00
src Alters the splitting tree to be minimal (for the W-method) 2015-04-20 14:14:10 +02:00
.gitignore Adds some documentation in latex 2015-03-30 11:40:35 +02:00
CMakeLists.txt Fixes some warnings (and re-enables c++14) 2015-04-14 11:54:51 +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...