Download - ICSOFT'2012: Composing Model Transformations at Runtime: an approach for adapting Component-based User Interfaces

GRUPO DE INFORMÁTICA APLICADAUNIVERSIDAD DE ALMERÍA

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ICSOFT 201224-27 de julio de 2012

Composing Model Transformations at Runtime:

an approach for adapting Component-based User

InterfacesDiego Rodríguez-Gracia, Javier Criado, Luis Iribarne,

Nicolás PadillaApplied Computing Group

University of Almería, Spain

Cristina Vicente-ChicoteDepartment of Information Communication Technologies

Technical University of Cartagena, SpainApplied Computing Group


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Index• Our goal• Our proposalo Transformation Patterno Transformation Schemao Transformation Ruleso Rule Selection o Rule Transformation

• Conclusions• Future work


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Our goal- The main objective of our proposal is to achieve the

adaptation of user interfaces at runtime.

Architectural Model 1

Chat

Chat

GUIVideo Audio

GUI

Architectural Model 2

AudioVideoAdaptationProcess

- User interfaces are described by means of architectural models that contain the specification of user interfaces components

- These architectural models, which represent the user interfaces, can vary at runtime due to changes in the context(user interaction, a temporal event, etc)


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Index• Context• Our goal• Our proposalo Transformation Patterno Transformation Schemao Transformation Ruleso Rule Selection o Rule Transformation



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- Adaptation of architectural models- @Runtime- Using M2M transformations- Transformations are also adapted at runtime.- Model Transformations not prepared a priori- M2M is dynamically composed from a rule model

Our proposal


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- Model the structure and composition of our transformation schema elements.

- Possibility of changing our adaptation schema- Elements:

• TransformationSchema• Metamodel• Model• Transformations:

M2M M2T

Transformation Pattern


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

Transformation Schema: An instance of Transformation Pattern


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Metamodel for transformation rules

Rule Repository Model (RRM)Selected rules model (RMi)

The transformation behaviour is defined in the rules:

Transformation Rules

- 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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Instance of the M2M concept

The process starts when the system detects that it is necessary an adaptation

Rule Selection

Input: - Architectural Model (AMi) - Rule Repository Model (RRM)

Output: - Selected rules model (RMi)


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Instance of the M2T conceptThe process starts after RuleSelectionInput: - Selected rules model (RMi) Output: - Architectural model transformation

(ModelTransformationi)

Rule Transformation


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A practical application of our proposal


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A practical application of our proposal

RuleSelectionProcess

RuleTransformationProcess


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• Adaptive transformation for Composing Model Transformations at Runtime.

• Transformation pattern/template for adaptation schema

• Adaptation schema is also changeable and adaptable

• High degree of adaptability

• All adaptation elements are based on MDE• Models (architectures, rule repository,

selected rules)• M2M (RuleSelection, ModelTransformation)• M2T (RuleTransformation)

Conclusions


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<<model>>RRM

(repository)

<<metamodel>>RMM

<<model>>

RMi<<model>>

RMi+1

<<transformation>>RuleSelection

(M2M)

<<transformation>>RuleSelection

(M2M)

<<transformation>>RuleTransformation

(M2T)

<<transformation>>RuleTransformation

(M2T)

<<transformation>>

ModelTransformationi(M2M)

<<transformation>>

ModelTransformationi+1(M2M)

<<metamodel>>AMM

<<model>>

AMi<<model>>

AMi+1

conforms_to conforms_to

conforms_to

conforms_to conforms_to

1: source

2: target5: source

6: target

7: source

8: target

9: source

9: source

10: target13: source

14: target

15: source

1: source

state i state i+1

PHASE II<<transformation>>

RepositoryUpdate (M2M)

<<transformation>>RepositoryUpdate

(M2M)

3: source 11: source

12: target11: source

4: target3: source

PHASE III

target

source

decision-making

Future Work


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Adaptive Transformation Pattern for Architectural

Models

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

Applied Computing Group University of Almería, Spain

Cristina Vicente-ChicoteDepartment of Information Communication Technologies

Technical University of Cartagena, SpainUna Metodología para la Recuperación y Explotación de Información Medioambiental (TIN2010-15588)

Desarrollo de un Agente Web Inteligente de Información Medioambiental (TIC-6114)