Package org.processmining.plugins.stochasticpetrinet.enricher.experiment

Class PerformanceEnricherExperimentPlugin

java.lang.Object

org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

public class PerformanceEnricherExperimentPlugin
extends java.lang.Object

Performs a round-trip: model -> log -> model 1. generates a log for each execution semantics (StochasticNet.ExecutionPolicy). 2. strips the performance information of the stochastic net to get a plain model. 3. uses logs and model to enrich Petri nets 4. compare model parameters between each learned model and the original model.

Author:

Andreas Rogge-Solti

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	PerformanceEnricherExperimentPlugin.ExperimentType

Field Summary

Fields

Modifier and Type	Field	Description
static StochasticNet.DistributionType	DISTRIBUTION_TYPE
static int[]	NOISE_LEVELS
static int[]	TRACE_SIZES
static StochasticNet.TimeUnit	UNIT_FACTOR	Use minutes as unit in the model

Constructor Summary

Constructors

Constructor	Description
PerformanceEnricherExperimentPlugin()

Method Summary

Modifier and Type	Method	Description
PerformanceEnricherExperimentResult	performExperiment(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet net, org.processmining.models.semantics.petrinet.Marking initialMarking, PerformanceEnricherExperimentPlugin.ExperimentType type)	We first simulate the net a number of times with a combination of given trace-sizes and policies, and then enrich the base Petri net to be stochastic again.
PerformanceEnricherExperimentResult	plugin(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet net)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

TRACE_SIZES

public static final int[] TRACE_SIZES

NOISE_LEVELS

public static final int[] NOISE_LEVELS

DISTRIBUTION_TYPE

public static final StochasticNet.DistributionType DISTRIBUTION_TYPE

UNIT_FACTOR

public static final StochasticNet.TimeUnit UNIT_FACTOR

Use minutes as unit in the model

Constructor Detail

PerformanceEnricherExperimentPlugin

public PerformanceEnricherExperimentPlugin()

Method Detail

plugin

public PerformanceEnricherExperimentResult plugin(org.processmining.contexts.uitopia.UIPluginContext context,
                                                  StochasticNet net)

performExperiment

public PerformanceEnricherExperimentResult performExperiment(org.processmining.contexts.uitopia.UIPluginContext context,
                                                             StochasticNet net,
                                                             org.processmining.models.semantics.petrinet.Marking initialMarking,
                                                             PerformanceEnricherExperimentPlugin.ExperimentType type)

We first simulate the net a number of times with a combination of given trace-sizes and policies, and then enrich the base Petri net to be stochastic again. Then we compare the resulting model parameters to each other.

Parameters:

context -

net -

initialMarking -

Returns: