be.unamur.info:yami-tool 1.0.1

Usage models (Discrete Time Markov Chain (DTMC)) represents the usage scenarios of the software as well as their probability. This allows one to determine the relative importance of execution scenarios (with respect to other). This project explores the possibility to reverse engineer usage models based on execution traces contained in application logs.

GroupId	be.unamur.info
ArtifactId	yami-tool
Version	1.0.1
Type	jar

Download yami-tool 1.0.1

Filename	Size
yami-tool-1.0.1.pom
yami-tool-1.0.1.jar	35 KB
yami-tool-1.0.1-sources.jar	32 KB
yami-tool-1.0.1-javadoc.jar	152 KB
yami-tool-1.0.1-jar-with-dependencies.jar	25 MB

Apache Maven

<!-- https://jarcasting.com/artifacts/be.unamur.info/yami-tool/ -->
<dependency>
    <groupId>be.unamur.info</groupId>
    <artifactId>yami-tool</artifactId>
    <version>1.0.1</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/be.unamur.info/yami-tool/
implementation 'be.unamur.info:yami-tool:1.0.1'

Gradle Kotlin

// https://jarcasting.com/artifacts/be.unamur.info/yami-tool/
implementation ("be.unamur.info:yami-tool:1.0.1")

Apache Buildr

'be.unamur.info:yami-tool:jar:1.0.1'

Apache Ivy

<dependency org="be.unamur.info" name="yami-tool" rev="1.0.1">
  <artifact name="yami-tool" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='be.unamur.info', module='yami-tool', version='1.0.1')
)

Scala SBT

libraryDependencies += "be.unamur.info" % "yami-tool" % "1.0.1"

Leiningen

[be.unamur.info/yami-tool "1.0.1"]