es.us.isa.generator.FM.AbstractFMGenerator Class Reference

Inheritance diagram for es.us.isa.generator.FM.AbstractFMGenerator:

List of all members.

Public Member Functions
void	resetGenerator (Characteristics c) throws BettyException
void	setHookClass (AbstractFMGeneratorDecorator gen)
void	addRoot (FAMAFeatureModel fm, Feature root)
Relation	addAlternative (Feature parent, List< Feature > children)
void	addMandatory (Feature parent, Feature child)
void	addOptional (Feature parent, Feature child)
Relation	addOr (Feature parent, List< Feature > children)
void	addExcludes (FAMAFeatureModel fm, Feature origin, Feature destination)
void	addRequires (FAMAFeatureModel fm, Feature origin, Feature destination)
boolean	areDirectFamily (Feature f, Feature g)
boolean	existsRelation (FAMAFeatureModel fm, Feature f, Feature g)
void	createCardinality (Feature parent, Feature child, int i, int j)
Protected Member Functions
String	getFeatureId ()
String	getRelationId ()
Protected Attributes
AbstractFMGeneratorDecorator	hookClass = null
GeneratorCharacteristics	characteristics
FMStatistics	statistics
Random	random
int	numberOfFeatures
int	numberOfConstraints
float	probMandatory
float	probOptional
float	probOrChildren
float	probAltChildren
int	featureId
int	relationId

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Detailed Description

This class implements the basic methods of a basic random FM generator.

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Member Function Documentation

Relation es.us.isa.generator.FM.AbstractFMGenerator.addAlternative	(	Feature	parent,
		List< Feature >	children
	)

Update the statistics of the feature model being generated when we add an alternative relationship.

Parameters:

parent	The parent feature of the alternative relationship.
children	The child features of the alternative relationship.

void es.us.isa.generator.FM.AbstractFMGenerator.addExcludes	(	FAMAFeatureModel	fm,
		Feature	origin,
		Feature	destination
	)

Update the statistics of the feature model being generated when an excludes constraint is added.

Parameters:

origin	The origin feature.
destination	The destination feature.

void es.us.isa.generator.FM.AbstractFMGenerator.addMandatory	(	Feature	parent,
		Feature	child
	)

Update the statistics of the feature model being generated when we add an mandatory relationship

Parameters:

parent	The parent feature of the mandatory relationship.
child	The mandatory feature added.

void es.us.isa.generator.FM.AbstractFMGenerator.addOptional	(	Feature	parent,
		Feature	child
	)

Update the statistics of the feature model being generated when we add an optional relationship

Parameters:

parent	The parent feature of the optional relationship.
child	The optional feature added.

Relation es.us.isa.generator.FM.AbstractFMGenerator.addOr	(	Feature	parent,
		List< Feature >	children
	)

Update the statistics of the feature model being generated when we add an or relationship.

Parameters:

parent	The parent feature of the or-relation.
children	The child features of the or-relation added.

void es.us.isa.generator.FM.AbstractFMGenerator.addRequires	(	FAMAFeatureModel	fm,
		Feature	origin,
		Feature	destination
	)

Update the statistics of the feature model being generated when a requires constraint is added.

Parameters:

origin	The origin feature.
destination	The destination feature.

void es.us.isa.generator.FM.AbstractFMGenerator.addRoot	(	FAMAFeatureModel	fm,
		Feature	root
	)

Update the statistics of the feature model being generated when we add a root feature.

Parameters:

root	The root feature added.

boolean es.us.isa.generator.FM.AbstractFMGenerator.areDirectFamily	(	Feature	f,
		Feature	g
	)

This method is used to find out if two features are direct family (i.e. they are directly related in the tree) For instance, in the following scheme, f->h->i->g, we could say that f and g are direct family.

Parameters:

f	This first feature whose parental relation we want to check.
g	This second feature whose parental relation we want to check.

Returns:

a boolean stating whether the input features have any parental relation or not.

void es.us.isa.generator.FM.AbstractFMGenerator.createCardinality	(	Feature	parent,
		Feature	child,
		int	i,
		int	j
	)

This method create a relation with complex cardinality between two features

Parameters:

parent	The parent feature.
child	The child feature.
i	The minimum value for the cardinality.
j	The maximum value for the cardinality.

boolean es.us.isa.generator.FM.AbstractFMGenerator.existsRelation	(	FAMAFeatureModel	fm,
		Feature	f,
		Feature	g
	)

This method will look for any existing dependency in the generated model between the input features

Parameters:

fm	The feature model where we will look for the dependency
f	Input feature.
g	Input feature.

Returns:

a boolean stating whether exits a constraint in fm between f and g or not.

String es.us.isa.generator.FM.AbstractFMGenerator.getFeatureId

(

)

[protected]

Returns:

the next name to be used for a new feature

String es.us.isa.generator.FM.AbstractFMGenerator.getRelationId

(

)

[protected]

Returns:

the next name to be used for a new relation

void es.us.isa.generator.FM.AbstractFMGenerator.resetGenerator

(

Characteristics

c

)

throws BettyException

This method resets the generation, setting the user's preferences for the generation

Parameters:

c	The characteristics (user's generation preferences) to be used in the generator.

Exceptions:

BettyException

Implements es.us.isa.generator.IGenerator.

void es.us.isa.generator.FM.AbstractFMGenerator.setHookClass

(

AbstractFMGeneratorDecorator

gen

)

Set a decorator object implementing the hook methods

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Member Data Documentation

GeneratorCharacteristics es.us.isa.generator.FM.AbstractFMGenerator.characteristics [protected]

Input constraints used for the generation.

int es.us.isa.generator.FM.AbstractFMGenerator.featureId [protected]

Util for naming

AbstractFMGeneratorDecorator es.us.isa.generator.FM.AbstractFMGenerator.hookClass = null [protected]

This variable is used to add functionality to the internal methods of the class by using hook methods implemented in an external decorator class. By default is null.

int es.us.isa.generator.FM.AbstractFMGenerator.numberOfConstraints [protected]

Number of cross-tree constraints to be generated

int es.us.isa.generator.FM.AbstractFMGenerator.numberOfFeatures [protected]

Number of features of the feature models to be generated

float es.us.isa.generator.FM.AbstractFMGenerator.probAltChildren [protected]

Probability of a feature being in an alternative relation

float es.us.isa.generator.FM.AbstractFMGenerator.probMandatory [protected]

Probability of a feature being mandatory

float es.us.isa.generator.FM.AbstractFMGenerator.probOptional [protected]

Probability of a feature being optional.

float es.us.isa.generator.FM.AbstractFMGenerator.probOrChildren [protected]

Probability of a feature being in an or-relation

Random es.us.isa.generator.FM.AbstractFMGenerator.random [protected]

The random class used during the generation.

int es.us.isa.generator.FM.AbstractFMGenerator.relationId [protected]

Util for naming

FMStatistics es.us.isa.generator.FM.AbstractFMGenerator.statistics [protected]

This variable stores the statistics of the model being generated (e.g. number of features generated)

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The documentation for this class was generated from the following file:

• /home/malawito/Documentos/workspaces/BeTTy/Betty1.0/src/es/us/isa/generator/FM/AbstractFMGenerator.java