CoalA
This tool for
COmpositional
Automata
Learning with
Alphabet refinement is build on top of
LearnLib and implements a compositional algorithm for learning large transitions systems from a black box system in the style of L*.
The embedded parallel components are discovered automatically using our alphabet refinement algorithm described in our
CONCUR paper.
A reproduction package (including sources) is available on
Zenodo.
The first version of this tool was called Coal (
paper,
artefact).
It does not yet include the techniques for automatically finding the component alphabets, instead relying on user input.