Ais a formal model having a number of states and transitions. Transitions between states are annotated with probabilities. The sum of probabilities of outgoing transitions must be one.
Markov4JMeter is a JMeter component which adds a new Controller, supporting the test plan execution based on probabilistic user behavior(s) itself based on the Markov Chain concept (as well as elements known from state machines, e.g. guards and actions). Moreover, Markov4JMeter enables the variation of the number of active parallel user sessions (threads) during test run – to be specified by user-definable mathematic formulae.
Markov4JMeter is licensed under the terms of the .
Markov4JMeter requires Apache JMeter 2.2 or higher (versions 2.3+, including the current 2.3.4 release, are supported) and Java 1.5 or higher. Note that JMeter 2.3.1 has a !
We provide a tutorial which consists of installation instructions as well as a step-by-step description on how to develop a test plan with Markov4JMeter. It is included in each release. Additionally, we provide an HTML version of the tutorial.
Markov4JMeter (binaries and sources) from our at SourceForge.net.