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Rule Selection
Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces
Example:
We have an Architectural Model (AMi) where Launcher.purposes = [
‘DeleteVideo’, ‘InsertVideoLowQ’, ‘InsertBlackBoard’, ‘InsertFileSharing’ ].
Rule Repository
Model (RRM):
Selected Rules Model
(RMi) is generated:
2nd International Conference on Model & Data Engineering
October, 3-5, 2012](https://image.slidesharecdn.com/medi2012-121023032300-phpapp01/85/MEDI-2012-Runtime-Adaptation-of-Architectural-Models-an-approach-for-adapting-User-Interfaces-20-320.jpg)
MEDI'2012: Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces
- 1. 1 Runtime Adaptation of Architectural Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Models: an approach for adapting User Interfaces Diego Rodríguez-Gracia, Javier Cristina Vicente-Chicote Criado, Luis Iribarne, Nicolás Padilla Dpt. of Information Applied Computing Group Communication Technologies University of Almería, Spain Technical University of Cartagena, Spain Applied Computing Group 2nd International Conference in Model & Data Engineering (MEDI’2012) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 2. 2 Outline Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces • Context • Our goal • User Interface Adaptation – Model Transformation Pattern – Adaptive Model Transformation – Transformation Rules – Rule Selection – Rule Selection Log – Rule Transformation • Conclusions and future work 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 3. 3 Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Context 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 4. 4 Context Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Evaluator Politician Expert GIS 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 5. 5 Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Context 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 6. 6 Our goal Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - Adaptation of User Interfaces at runtime - UIs are described by means of architectural models that contain the specification of user interface components - Architectural Models can vary at runtime due to changes in the context (user interaction, a temporal event, etc) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 7. 7 Our goal Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - Adaptation of User Interfaces at runtime - UIs are described by means of architectural models that contain the specification of user interface components - Architectural Models can vary at runtime due to changes in the context (user interaction, a temporal event, etc.) Initial User Interface Adapted User Interface GUI GUI Email Chat Email Chat VideoLQ VideoHQ Audio BlackBoard FileSharing Audio Initial Architectural Model Adapted Architectural Model Email Chat Email Chat Adaptation Process Audio VideoLQ Audio VideoHQ BlackBoard FileSharing 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 8. 8 Our goal Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Meta-metamodel Metamodel A Metamodel B Metamodel T Model A Model T Model B rules A PRIORI 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 9. 9 Our goal Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Architectural Metamodel Architectural M2M Architectural M2M Architectural Model A Model B Model C rules rules Adaptive Transformation 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 10. 10 User Interface Adaptation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - 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 Architectural Metamodel Initial Adapted Architectural Model Architectural Model 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 11. 11 User Interface Adaptation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - Build a pattern/template for modeling our adaptation schema - Build a Rule Repository - Design a Rule Selection process as an M2M • This selection process can generate different rule subsets - Design a Rule Selection Log process as an M2M • This process updates the repository with selection information - Develop a Rule Transformation process as an M2T • This process generates the model transformation 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 12. 12 Model Transformation Pattern Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - Model the structure and composition of our transformation schema elements - Possibility of changing our adaptation schema - Elements: • TransformationSchema • Metamodel • Model • Transformations: M2M M2T 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 13. 13 Adaptive Model Transformation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces <<metamodel>> conforms_to RMM conforms_to conforms_to <<model>> 1: source 9: source RRM (repository) 3: source 11: source 4: target 12: target state i <<transformation>> state i+1 3:source <<transformation>> RuleSelectionLog 11:source RuleSelectionLog (M2M) (M2M) <<transformation>> 2:target <<transformation>> <<model>> 10:target <<model>> RuleSelection RuleSelection RMi RMi+1 (M2M) (M2M) 1 – Rule Selection 5:source 13:source <<transformation>> <<transformation>> 2 – Rule Selection Log RuleTransformation RuleTransformation (M2T) (M2T) 3 – Rule Transformation 1:source 6:target 9:source 14:target <<model>> <<transformation>> ModelTransformationi <<model>> <<transformation>> ModelTransformationi+1 4 – Model Transformation AMi (M2M) AMi+1 (M2M) 7:source 8:target 15:source conforms_to <<metamodel>> conforms_to AMM 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) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 14. 14 Adaptive Model Transformation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces <<metamodel>> conforms_to RMM conforms_to conforms_to <<model>> 1: source 9: source RRM (repository) 3: source 11: source 4: target 12: target state i <<transformation>> state i+1 3:source <<transformation>> RuleSelectionLog 11:source RuleSelectionLog (M2M) (M2M) <<transformation>> 2:target <<transformation>> <<model>> 10:target <<model>> RuleSelection RuleSelection RMi RMi+1 (M2M) (M2M) 1 – Rule Selection 5:source 13:source <<transformation>> <<transformation>> 2 – Rule Selection Log RuleTransformation RuleTransformation (M2T) (M2T) 3 – Rule Transformation 1:source 6:target 9:source 14:target <<model>> <<transformation>> ModelTransformationi <<model>> <<transformation>> ModelTransformationi+1 4 – Model Transformation AMi (M2M) AMi+1 (M2M) 7:source 8:target 15:source conforms_to <<metamodel>> conforms_to AMM 2º Rule Selection Log: is obtained as an instance of the M2M concept Input: the selected rules model (RMi) and the rule repository model (RRM) Output: the updated rule repository model (RRM) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 15. 15 Adaptive Model Transformation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces <<metamodel>> conforms_to RMM conforms_to conforms_to <<model>> 1: source 9: source RRM (repository) 3: source 11: source 4: target 12: target state i <<transformation>> state i+1 3:source <<transformation>> RuleSelectionLog 11:source RuleSelectionLog (M2M) (M2M) <<transformation>> 2:target <<transformation>> <<model>> 10:target <<model>> RuleSelection RuleSelection RMi RMi+1 (M2M) (M2M) 1 – Rule Selection 5:source 13:source <<transformation>> <<transformation>> 2 – Rule Selection Log RuleTransformation RuleTransformation (M2T) (M2T) 3 – Rule Transformation 1:source 6:target 9:source 14:target <<model>> <<transformation>> ModelTransformationi <<model>> <<transformation>> ModelTransformationi+1 4 – Model Transformation AMi (M2M) AMi+1 (M2M) 7:source 8:target 15:source conforms_to <<metamodel>> conforms_to AMM 3º Rule Transformation: is obtained as an instance of the M2T concept Input: the selected rules model (RMi) Output: the transformation for architectural model (ModelTransformationi) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 16. 16 Adaptive Model Transformation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces <<metamodel>> conforms_to RMM conforms_to updated by selection conforms_to <<model>> process 1: source 9: source RRM (repository) 3: source 11: source 4: target 12: target state i <<transformation>> state i+1 3:source <<transformation>> RuleSelectionLog 11:source RuleSelectionLog (M2M) (M2M) <<transformation>> 2:target <<transformation>> <<model>> 10:target <<model>> RuleSelection RuleSelection RMi RMi+1 (M2M) (M2M) 1 – Rule Selection 5:source 13:source <<transformation>> <<transformation>> 2 – Rule Selection Log RuleTransformation RuleTransformation (M2T) (M2T) 3 – Rule Transformation 1:source 6:target 9:source 14:target <<model>> <<transformation>> ModelTransformationi <<model>> <<transformation>> ModelTransformationi+1 4 – Model Transformation AMi (M2M) AMi+1 (M2M) 7:source 8:target 15:source conforms_to <<metamodel>> conforms_to AMM 4º Model Transformation: is an instance of the M2M concept Input: the initial architectural model (AMi) Output: the new architectural model (AMi+1) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 17. 17 Transformation Rules Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - Metamodel for transformation rules - Rule Repository Model (RRM) - Selected rules model (RMi) - Rule attributes: 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 18. 18 Transformation Rules Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces - Metamodel for transformation rules - Rule Repository Model (RRM) - Selected rules model (RMi) - Rule attributes: rule_name: unique; identifies the rule purpose: indicates the purpose of the rule is_priority: boolean; if its value is true, the rule must be selected. weight: the selection process uses this attribute to select the rules run_counter: number of times the purpose of the rule matches adaptation purposes selection_counter: number of times the rule has been selected ratio: frequency of using a transformation rule 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 19. 19 Rule Selection Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Instance of the M2M concept The process starts when the system detects that it is necessary an adaptation Input: Architectural Model (AMi), Rule Repository Model (RRM) Output: Selected Rules Model (RMi) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 20. 20 Rule Selection Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Example: We have an Architectural Model (AMi) where Launcher.purposes = [ ‘DeleteVideo’, ‘InsertVideoLowQ’, ‘InsertBlackBoard’, ‘InsertFileSharing’ ]. Rule Repository Model (RRM): Selected Rules Model (RMi) is generated: 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 21. 21 Rule Selection Log Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Instance of the M2M concept The process starts after RuleSelection Input: Selected Rules Model (RMi), Rule Repository Model (RRM) Output: Updated Rule Repository Model (RRM) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 22. 22 Rule Selection Log Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Example: Selected Rules Model (RMi): Updated Rule Repository Model (RRM): 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 23. 23 Rule Transformation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Instance of the M2T concept The process starts after RuleSelectionLog Input: - Selected Rules Model (RMi) Output: - Architectural model transformation (ModelTransformationi) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 24. 24 Rule Transformation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Selected Rules Model (RMi) RuleTransformation (JET) ModelTransformation (ATL) 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 25. 25 User Interface Adaptation Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Initial User Interface Adapted User Interface GUI GUI Email Chat Email Chat VideoLQ VideoHQ Audio BlackBoard FileSharing Audio Initial Architectural Model Adapted Architectural Model Email Chat Email Chat Adaptation Process Audio VideoLQ Audio VideoHQ BlackBoard FileSharing 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 26. 26 Conclusions Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces • Adaptive transformation for architectural models 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, RuleSelectionLog, ModelTransformation) • M2T (RuleTransformation) • Case study: Adaptation of component-based user interfaces at runtime 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 27. 27 Future work Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces • Higher degree of adaptability • Add to selection logic: use frequency of rules, rule weight management policies, etc. • RuleTransformation process Replace M2T transformation (JET) by HOT (Higher Order Transformation) • Editing tool for building: Adaptation rules Architectural models • Automate the context processing by using M2M transformations 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 28. 28 Future work NEW PHASE Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces <<metamodel>> decision-making conforms_to RMM conforms_to source conforms_to target <<model>> 1: source 9: source RRM (repository) 3: source 11: source 4: target 12: target <<transformation>> <<transformation>> 3:source 11:source RuleSelectionLog RuleSelectionLog (M2M) (M2M) <<transformation>> <<transformation>> 2: target <<model>> 10: target <<model>> RuleSelection RuleSelection RMi RMi+1 (M2M) (M2M) state i 5: source 13: source state i+1 <<transformation>> <<transformation>> RuleTransformation RuleTransformation (M2T) (M2T) 1: source 6: target 9: source 14: target <<transformation>> <<transformation>> <<model>> <<model>> ModelTransformationi ModelTransformationi+1 AMi AMi+1 7: source (M2M) (M2M) 8: target 15:source conforms_to <<metamodel>> conforms_to AMM 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 29. 29 Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Thank you very much for your attention!! Questions?? 2nd International Conference on Model & Data Engineering October, 3-5, 2012
- 30. 30 Runtime Adaptation of Architectural Runtime Adaptation of Architectural Models: an approach for adapting User Interfaces Models: an approach for adapting User Interfaces Diego Rodríguez-Gracia, Javier Criado, Luis Iribarne, Nicolás Padilla Applied Computing Group, University of Almería, Spain Cristina Vicente-Chicote Department of Information Communication Technologies Technical University of Cartagena, Spain Una Metodología para la Recuperación y Explotación de Información Medioambiental (TIN2010-15588) Desarrollo de un Agente Web Inteligente de Información Medioambiental (TIC-6114) 2nd International Conference on Model & Data Engineering October, 3-5, 2012