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learnlib-lstar

A flexible, optimized version of Dana Angluin's L* algorithm. This module provides access to the original version of L*, extensions for Mealy machines, and variants with enhanced counterexample analysis (as proposed by e.g. Maler & Pnueli and Rivest & Schapire).
Files download
File Operation
learnlib-lstar-0.16.0.jar download
learnlib-lstar-0.16.0.pom download
learnlib-lstar-0.16.0-sources.jar download
Apache Maven
<dependency>
  <groupId>de.learnlib</groupId>
  <artifactId>learnlib-lstar</artifactId>
  <version>0.16.0</version>
</dependency>
Gradle Groovy
implementation 'de.learnlib:learnlib-lstar:0.16.0'
Gradle Kotlin
implementation("de.learnlib:learnlib-lstar:0.16.0")
Scala SBT
libraryDependencies += "de.learnlib" % "learnlib-lstar" % "0.16.0"
Groovy Grape
@Grapes(
  @Grab(group='de.learnlib', module='learnlib-lstar', version='0.16.0')
)
Apache Ivy
<dependency org="de.learnlib" name="learnlib-lstar" rev="0.16.0" />
Leiningen
[de.learnlib/learnlib-lstar "0.16.0"]
Apache Buildr
'de.learnlib:learnlib-lstar:jar:0.16.0'