adaptive transformation pattern for chitectural models architectural models

Adaptive Transformation Pattern for

Architectural Models

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

io Applied Computing GroupUniversity of Almería, Spain

Cristina Vicente-Chicote

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

Indexs

• Context

• Our goal

• Our proposal

rArc Our proposal

o Transformation Pattern

o Transformation Schema

io o Transformation Schema

o Transformation Rules

R l S l i

t o Rule Selection

o Rule Transformation

• Conclusions

• Future work

Contexts Meta metamodel

s Meta-metamodel

Metamodel A Metamodel BMetamodel T

Model A Model BModel TModel T

t Model A Model BModel T

Metamodel A and

Metamodel B could be or not the same

A PRIORI

could be or not the same

Indexs

• Context

• Our goal

• Our proposal

rArc Our proposal

R l S l i

t o Rule Selection

• Conclusions

• Future work

Our goalsg

ArchitecturalMetamodel

Architectural ArchitecturalM2M ArchitecturalM2M

io ArchitecturalModel A

ArchitecturalModel B

ArchitecturalModel C

Adaptive T f iTransformation

Indexs

• Context

• Our goal

• Our proposal

rArc Our proposal

R l S l i

t o Rule Selection

• Conclusions

• Future work

Our proposals

- 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

Methodologys

- Adaptive Model Transformation:

f i d d l

els • M2M transformation. Input and output models are AM

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

rArc M2M process enables the evolution and adaptation of

architectural models• M2M process behaviour is described by its rules

- Build a Rule Repository

- 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

Transformation Patterns

- Model the structure and composition of our transformation schema elements

s elements.

- Possibility of changing our adaptation schema

rArc - Elements:

• TransformationSchema

• Metamodel

• Model

• Transformations:

<<metamodel>>

RMMconforms_to conforms_to

Transformation Schema: An instance of Transformation Patterns

<<model>>

RRM(repository)

conforms_to

1: source 7: source

<<model>>

<<transformation>>

RuleSelection(M2M)

<<transformation>>

RuleSelection(M2M)

2: target3: source

8: target9: source

rArc <<transformation>>

RuleTransformation(M2T)

<<transformation>>

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

4: target7: source

10: target1: source

state i+1state i

io ModelTransformationi(M2M)

ModelTransformationi+1(M2M)

<<metamodel>>

<<model>>

conforms_to conforms_to

5: source 6: target 11: source

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)

Transformation Ruless

Metamodel for transformation rules

Rule Repository Model (RRM)

Selected rules model (RMi)

The transformation behaviour is defined in the rules:

U i Id ifi h l

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.

Rule Selections

Instance of the M2M concept

The process starts when the system detects

p ythat it is necessary an andaptation

io Input:

- Architectural Model (AMi)- Rule Repository Model

t Rule Repository Model (RRM)

Output:

- Selected rules model (RMi)

Rule Selections

Example:

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

s When state of the running attribute of the AMi is changed (Launcher.running =true), the RuleSelection process is executed.

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

The selected rule model (RMi) is generated:

Rule Transformations

Instance of the M2T concept

The process starts after RuleSelection

Input:

- Selected rules model (RMi) Output:

- Architectural model transformation(ModelTransformationi)

RuleTransformation

ModelTransformationi

RuleTransformation

ModelTransformationi

Indexs

• Context

• Our goal

• Our proposal

rArc Our proposal

R l S l i

t o Rule Selection

• Conclusions

• Future work

Conclusionss

• Adaptive transformation for architectural models at

runtime

• Transformation pattern/template for adaptation schema

rArc • Transformation pattern/template for adaptation schema

• Adaptation schema is also changeable and adaptable

io p g p

• High degree of adaptability

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

Indexs

• Context

• Our goal

• Our proposal

rArc Our proposal

R l S l i

t o Rule Selection

• Conclusions

• Future work

20<<metamodel>>

RMMconforms_to conforms_to

confo ms to PHASE III

Future Works

conforms_to PHASE III

source

decision-making

<<model>>

RRM(repository)1: source

12: target

11: source

4: target

3: source

target

PHASE II<<transformation>>

RepositoryUpdate (M2M)

<<transformation>>

RepositoryUpdate (M2M)

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

RuleSelection<<transformation>>

RuleSelection

9: source3: source 11: source

RMi RMi+1RuleSelection

(M2M)RuleSelection

<<transformation>>

2: target5: source

10: target13: source

state i state i+1

<<transformation>>

ModelTransformationi(M2M)

<<transformation>>

ModelTransformationi+1(M2M)

<<model>>

6: target

7: source

8: target

9: source14: target

15: source

1: source

<<metamodel>>

AMMconforms_to conforms_to

Adaptive Transformation Pattern for s

Architectural Models

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

rArc Applied Computing Group

University of Almería, Spain

Cristina Vicente-ChicoteDepartment of Information Communication Technologies

Technical University of Cartagena, Spain

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)

Main Rules y Lazy Ruless

Helper Ruless

adaptive transformation pattern for chitectural models architectural models

transformation pattern

o transformation rules

rule transformation

new transformation

transformation schemaelements

transformation rulesmetamodel

software y

rule model rmioutput

Education

architecture -...

the difference with architectural models

measuring architectural adaptability in models

reusable architectural decision models for enterprise...

architectural modeling-rj models-portfolio

architectural model making-rj models-portfolio

architectural models and their contexts in china’s 20th

producingvirtualwalkthroughs from architectural models: a...

symmetry for architectural design - computer graphics...

architectural models portfolio | amir mohtasebi

architectural designjs236/cs3398/ch6...architectural...

reverse engineering architectural feature models

architectural models -...

architectural models for resource management in the grid

architectural model making, rj models

constraint databases: data models and architectural aspects

constraint databases: data models and architectural aspects...

chitectural lighting

creating architectural models from...

architectural cloud enabled models for network...