adaptive transformation pattern for chitectural models architectural models

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Adaptive Transformation Pattern for

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Architectural Models

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Diego Rodríguez-Gracia, Javier Criado, Luis Iribarne, Nicolás PadillaApplied Computing Group

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Cristina Vicente-Chicote

Adap

t Cristina Vicente ChicoteDepartment of Information Communication Technologies

Technical University of Cartagena, Spain

Applied Computing Group

GRUPO DE INFORMÁTICA APLICADAUNIVERSIDAD DE ALMERÍA XVI Jornadas de Ingeniería del Software y Bases de Datos

5-7 de septiembre de 2011

Applied Computing Group

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Indexs

• Context

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• Our goal

• Our proposal

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o Transformation Pattern

o Transformation Schema

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o Transformation Rules

R l S l i

Adap

t o Rule Selection

o Rule Transformation

• Conclusions

• Future work



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Contexts Meta metamodel

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Metamodel A Metamodel BMetamodel T

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Model A Model BModel TModel T

Adap

t Model A Model BModel T

rules

Metamodel A and

Metamodel B could be or not the same

A PRIORI



could be or not the same

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Indexs

• Context

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• Our goal

• Our proposal

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R l S l i

Adap

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• Conclusions

• Future work



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Our goalsg

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ArchitecturalMetamodel

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Architectural ArchitecturalM2M ArchitecturalM2M

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ArchitecturalModel B

M2M

rules

ArchitecturalModel C

M2M

rules

Adap

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Adaptive T f iTransformation



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Indexs

• Context

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• Our goal

• Our proposal

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R l S l i

Adap

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• Conclusions

• Future work



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Our proposals

- Adaptation of architectural models

p pch

itect

ural

Mod

els

- @Runtime

- Using M2M transformations

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- Transformations are also adapted at runtime.

- Model Transformations not prepared a priori

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- M2M is dynamically composed from a rule model

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Methodologys

- Adaptive Model Transformation:

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itect

ural

Mod

els • M2M transformation. Input and output models are AM

(Architectural Models) • M2M process enables the evolution and adaptation of

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architectural models• M2M process behaviour is described by its rules

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- Build a Rule Repository

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- Design a Rule Selection process as a M2M• This selection process can generate different rule subsets

- Develop a Rule Transformation process as a M2T• This process generates the model transformation



- Build a pattern/template for modeling our adaptation schema

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Transformation Patterns

- Model the structure and composition of our transformation schema elements

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- Possibility of changing our adaptation schema

El

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• TransformationSchema

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• Metamodel

• Model

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• Transformations:

M2M

M2T



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<<metamodel>>

RMMconforms_to conforms_to

Transformation Schema: An instance of Transformation Patterns

<<model>>

RRM(repository)

conforms_to

1: source 7: source

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<<model>>

RMi

<<model>>

RMi+1

<<transformation>>

RuleSelection(M2M)

<<transformation>>

RuleSelection(M2M)

2: target3: source

8: target9: source

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RuleTransformation(M2T)

<<transformation>>


<<transformation>> <<transformation>><<model>> <<model>>

4: target7: source

10: target1: source

state i+1state i

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ModelTransformationi+1(M2M)

<<metamodel>>

AMM

<<model>>

AMi

<<model>>

AMi+1

conforms_to conforms_to

5: source 6: target 11: source

Adap

t AMM

1º Rule Selection: is obtained as an instance of the M2M conceptInput: the repository model (RRM) and the initial architectural model (AMi)Output: the selected rules model (RMi)

2º Rule Transformation: is obtained as an instance of the M2T conceptInput: the rule model (RMi)Output: a new transformation for architectural models at runtime (ModelTransformationi)

3º Model Transformation: is obtained as an instance of the M2M concept



pInput: the initial architectural model (AMi)Output: a new architectural model at runtime (AMi+1)

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Transformation Ruless

Metamodel for transformation rules

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Rule Repository Model (RRM)

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Selected rules model (RMi)

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The transformation behaviour is defined in the rules:

U i Id ifi h l

Adap

t - rule_name: Unique. Identifies the rule.

- purpose: Indicates the purpose of the rule.

- is_priority: Boolean. It its value is true, the rule must be selected.

- weight: The selection process uses this attribute to select the rules.



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Rule Selections

Instance of the M2M concept

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The process starts when the system detects

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p ythat it is necessary an andaptation

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- Architectural Model (AMi)- Rule Repository Model

Adap

t Rule Repository Model (RRM)

Output:

- Selected rules model (RMi)



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Rule Selections

Example:

Wh f h i ib f h AM i h d ( ) h

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We have an Architectural Model (AMi) where Launcher.purpose = ‘InsertComponent’.Rule repository model (RRM):

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The selected rule model (RMi) is generated:



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Rule Transformations

Instance of the M2T concept

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The process starts after RuleSelection

Input:

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- Selected rules model (RMi) Output:

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- Architectural model transformation(ModelTransformationi)

Adap

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RMi

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RuleTransformation

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ModelTransformationi



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RuleTransformation

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RMi

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RMi

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ModelTransformationi

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Indexs

• Context

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• Our goal

• Our proposal

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R l S l i

Adap

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• Conclusions

• Future work



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Conclusionss

• Adaptive transformation for architectural models at

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runtime

• Transformation pattern/template for adaptation schema

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• Adaptation schema is also changeable and adaptable

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• High degree of adaptability

Adap

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• All adaptation elements are based on MDE• Models (architectures rule repository selected rules)• Models (architectures, rule repository, selected rules)• M2M (RuleSelection, ModelTransformation)• M2T (RuleTransformation)



( )

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Indexs

• Context

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• Our goal

• Our proposal

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R l S l i

Adap

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• Conclusions

• Future work



20<<metamodel>>

RMMconforms_to conforms_to

confo ms to PHASE III

Future Works

conforms_to PHASE III

source

decision-making

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<<model>>

RRM(repository)1: source

12: target

11: source

4: target

3: source

target

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PHASE II<<transformation>>

RepositoryUpdate (M2M)

<<transformation>>

RepositoryUpdate (M2M)

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<<model>> <<model>><<transformation>>

RuleSelection<<transformation>>

RuleSelection

9: source3: source 11: source

Adap

t

RMi RMi+1RuleSelection

(M2M)RuleSelection

(M2M)

<<transformation>>


<<transformation>>


2: target5: source

10: target13: source

state i state i+1

<<transformation>>

ModelTransformationi(M2M)

<<transformation>>

ModelTransformationi+1(M2M)

<<model>>

AMi

<<model>>

AMi+1

6: target

7: source

8: target

9: source14: target

15: source

1: source



<<metamodel>>

AMMconforms_to conforms_to

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Adaptive Transformation Pattern for s

Architectural Models

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Diego Rodríguez-Gracia, Javier Criado, Luis Iribarne, Nicolás Padilla

onP

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rArc Applied Computing Group

University of Almería, Spain

tive

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Cristina Vicente-ChicoteDepartment of Information Communication Technologies

Technical University of Cartagena, Spain

Adap

t y f g , p

Una Metodología para la Recuperación y Explotación de Información Medioambientalp(TIN2010-15588)

Desarrollo de un Agente Web Inteligente de I f ió M di bi l (TIC 6114)



Información Medioambiental (TIC-6114)

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Main Rules y Lazy Ruless

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Pat

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Adap

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Helper Ruless

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Pat

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Adap

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adaptive transformation pattern for chitectural models architectural models

Education

transformation pattern

o transformation rules

rule transformation

new transformation

transformation schemaelements

transformation rulesmetamodel

software y

rule model rmioutput