Adaptive Transformation Pattern for chitectural Models Architectural Models

1

Adaptive Transformation Pattern for
Architectural Models
chitectural Models
tive Transformatio Pattern for Arc s

Diego Rodríguez-Gracia, Javier Criado, Luis Iribarne, Nicolás Padilla
Applied Computing Group
on

University of Almería, Spain

Cristina Vicente-Chicote
Vicente Chicote
Adapt

Department of Information Communication Technologies
Technical University of Cartagena, Spain


GRUPO DE INFORMÁTICA APLICADA
XVI Jornadas de Ingeniería del Software y Bases de Datos
UNIVERSIDAD DE ALMERÍA
5-7 de septiembre de 2011

2

Index
• Context
chitectural Models
s

• Our goal
• Our proposal
tive Transformatio Pattern for Arc

o Transformation Pattern
o Transformation Schema
on

o Transformation Rules
oR l S l i
Rule Selection
Adapt

o Rule Transformation
• Conclusions
• Future work


3

Context
Meta-metamodel
Meta metamodel
chitectural Models
tive Transformatio Pattern for Arc s

Metamodel A Metamodel B
Metamodel T
on

Model T
Model A Model T Model B
Adapt

rules

Metamodel A
and
A PRIORI Metamodel B
could be or not the same


4

Index
• Context
chitectural Models
s

• Our goal
• Our proposal

on

oR l S l i
Rule Selection
Adapt

• Conclusions
• Future work


5
chitectural Models
s
Our goal
g

Architectural
Metamodel
on

Architectural M2M Architectural M2M Architectural
Model A Model B Model C
rules rules
Adapt

Adaptive
Transformation
T f i


6

Index
• Context
chitectural Models
s

• Our goal
• Our proposal

on

oR l S l i
Rule Selection
Adapt

• Conclusions
• Future work


7

Our proposal
p p
- Adaptation of architectural models
chitectural Models
s

- @Runtime
- Using M2M transformations

- Transformations are also adapted at runtime.
- Model Transformations not prepared a priori
on

- M2M is dynamically composed from a rule model
Adapt


8

Methodology
gy
- Adaptive Model Transformation:
• M2M transformation. Input and output models are AM
f i d d l
chitectural Models
s

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

architectural models
• M2M process behaviour is described by its rules
on

- Build a Rule Repository
Adapt

- 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

9

Transformation Pattern
- Model the structure and composition of our transformation schema
elements.
elements
chitectural Models
s

- Possibility of changing our adaptation schema
- El
Elements:

• TransformationSchema
on

• Metamodel
• Model
Adapt

• Transformations:
M2M
M2T


10 Transformation Schema: An instance of Transformation Pattern
conforms_to <<metamodel>> conforms_to
RMM

conforms_to

<<model>>
RRM
1: source 7: source
(repository)
chitectural Models
s

<<transformation>> <<transformation>>
<<model>> <<model>>
RuleSelection RuleSelection
RMi RMi+1
(M2M) (M2M)
2: target 8: target
3: source 9: source

state i RuleTransformation state i+1 RuleTransformation
(M2T) (M2T)

4: target 10: target
1: source 7: source
on

<<model>> <<model>>
ModelTransformationi ModelTransformationi+1
AMi AMi+1
(M2M) (M2M)
5: source 6: target 11: source

AMM
Adapt

1º Rule Selection: is obtained as an instance of the M2M concept
Input: 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 concept
Input: 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
p
Input: the initial architectural model (AMi)
Output: a new architectural model at runtime (AMi+1)

11

Transformation Rules
Metamodel for transformation rules
chitectural Models
s

Rule Repository Model (RRM)

Selected rules model (RMi)
on

The transformation behaviour is
defined in the rules:
- rule_name: U i
Unique. Identifies the rule.
Id ifi h l
Adapt

- 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.


12

Rule Selection
Instance of the M2M concept
chitectural Models
s

The process starts when the system detects
p y

that it is necessary an andaptation
on

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

(RRM)

Output:
- Selected rules model (RMi)


13

Rule Selection
Example:

When
Wh state of the running attribute of the AMi i changed (
f h i ib f h is h d (Launcher.running =true), the
) h
chitectural Models
s

RuleSelection process is executed.

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

The selected rule model (RMi) is generated:


14

Rule Transformation
Instance of the M2T concept
chitectural Models
s

The process starts after RuleSelection
p
Input:

- Selected rules model (RMi)
Output:
on

- Architectural model transformation
(ModelTransformationi)
Adapt


15

Rule Transformation
RMi
chitectural Models
s

RuleTransformation
Adapt on

ModelTransformationi


16

Rule Transformation
RuleTransformation
chitectural Models
s

RMi
on

ModelTransformationi
Adapt


17

Index
• Context
chitectural Models
s

• Our goal
• Our proposal

on

oR l S l i
Rule Selection
Adapt

• Conclusions
• Future work


18

Conclusions
• Adaptive transformation for architectural models at
runtime
chitectural Models
s

• Transformation pattern/template for adaptation schema

• Adaptation schema is also changeable and adaptable
p g p
on

• High degree of adaptability
Adapt

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


19

Index
• Context
chitectural Models
s

• Our goal
• Our proposal

on

oR l S l i
Rule Selection
Adapt

• Conclusions
• Future work


20 Future Work
RMM

conforms_to
confo ms to PHASE III

decision-making

source
chitectural Models
s

target

3: source 11: source
<<model>>
RRM
1: source (repository)

PHASE II
RepositoryUpdate RepositoryUpdate
(M2M) (M2M)
on

9: source

<<model>> <<model>>
RuleSelection RuleSelection
Adapt

RMi RMi+1
(M2M) (M2M)

state i RuleTransformation state i+1 RuleTransformation
(M2T) (M2T)

1: source 9: source
<<model>> 8: target <<model>>
ModelTransformationi ModelTransformationi+1
AMi AMi+1
(M2M) (M2M)

AMM

21

Adaptive Transformation Pattern for
Architectural Models
chitectural Models
s

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

University of Almería, Spain
on

Cristina Vicente-Chicote
Department of Information Communication Technologies
Technical University of Cartagena, Spain
y f g , p
Adapt

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

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


22
chitectural Models
Adapt on s
Main Rules y Lazy Rules


23
chitectural Models
Adapt on s
Helper Rules


Adaptive Transformation Pattern for chitectural Models Architectural Models

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