Artifacts using automata-util version 0.9.0

This artifact provides the implementation of the L* learning algorithm described in the paper "Learning Regular Sets from Queries and Counterexamples" (https://doi.org/10.1016/0890-5401(87)90052-6) by Dana Angluin including variations and optimizations thereof such as the versions based on "On the Learnability of Infinitary Regular Sets" (https://doi.org/10.1006/inco.1995.1070) by Oded Maler and Amir Pnueli or "Inference of finite automata using homing sequences" ...

An artifact that aggregates all other artifacts of AutomataLib to produce an Uber-JAR that can be used in non-maven environments. Likewise, this single artifact may be used in maven-aware environments to declare a dependency on all AutomataLib artifacts.

This artifact provides a visualization implementation based on the JUNG (https://jung.sourceforge.net/) library.

This artifact provides the implementation of the DHC learning algorithm as described in the paper "Automata Learning with on-the-Fly Direct Hypothesis Construction" (https://doi.org/10.1007/978-3-642-34781-8_19) by Maik Merten, Falk Howar, Bernhard Steffen, and Tiziana Margaria.

This artifact contains adapter classes for treating the Automaton objects from the BRICS library (http://www.brics.dk/automaton) as AutomataLib models.

(De-)Serializers for the Textual Automaton Format

A collection of emptiness oracles

Deserializers for the Finite State Machine format

This artifact provides the integration of the model checker "LTSmin" (https://ltsmin.utwente.nl/) as described in the paper "Sound Black-Box Checking in the LearnLib" (https://doi.org/10.1007/s11334-019-00342-6) by Jeroen Meijer and Jaco van de Pol. Note that this implementation requires a local installation of the LTSmin binaries (see https://ltsmin.utwente.nl/) which are not explicitly included in this artifact due to packaging reasons.

(De-)Serializers for the legacy LearnLibV2 format