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CEManTIKA Framework Overview Vaninha Vieira vvs@cin.ufpe.br Ana Carolina Salgado acs@cin.ufpe.br Patricia Tedesco pcart@cin.ufpe.br
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2 O que é CEManTIKA Framework para apoiar o Projeto de Sistemas Sensíveis ao Contexto Composto por 4 elementos principais: Arquitetura Genérica (Gerenciamento de Contexto) Metamodelo de Contexto Perfis UML para apoiar a criação de modelos de contexto Processo de software
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3 Descrição do Projeto Elaborar um PROJETO de um CSS Guiado pelo Processo de Contexto Deadline: 14/10/2008 Criar versão preliminar documentos sugeridos no Processo Elaborar uma apresentação contendo: Apresentação do sistema e visão geral dos artefatos produzidos Vantagens/desvantagens em usar os elementos CEManTIKA Dificuldades encontradas Sugestões de melhorias
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Context Specification
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6 OMG Metamodel Architecture Standard Components Modeling Notation: UML Metadata Interchange: XMI MIDDLEWAREMIDDLEWARED APPLICATIONAPPLICATION User Data/Object Layer (M0) Metadata/Model Layer(M1) Metamodel Layer(M2) Meta-metamodel Layer (M3) <Person name=“Mary” age=“35”/> Person: name, age UML: Class, Attribute Context Metamodel: ContextualElement, Focus ContextualEntity, Rule MOF: Class, Attribute, Operation, Association Context Profile is based on UML 2.0
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7 Metamodel Profiles UML Profile Extensions of UML metamodel for specific areas Three main elements Stereotypes, Tagged values, Well-formedness rules in OCL Support CSS design Graphical representation using UML tools Stereotypes enable the identification of the context-related concepts
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8 Example – Without Stereotypes
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9 Example – With Stereotypes
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11 UML Profile
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12 Context Specification
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14 Example – Identify Focus
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15 Example – Identify Focus
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16 Context Specification
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17 Identify Behavior Variations Behavior without context 1)Users must provide keywords to search an expert; 2)Keywords should be mapped into ontology concepts 3)Subjects of expertise correspond to ontology concepts 4)Recommended experts :: match ontology concepts related to the keywords and the subjects of expertise; 5)Experts classified by their expertise degree 6)Show classified list of experts to the user
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18 Identify Behavior Variations Behavior with context 1)Identify CEs associated to the User 2)Use User’s CEs to improve match keywords x ontology; 3)Identify CEs useful to rank Experts; 4)Use Expert’s CEs to improve experts selection and classification 5)Return Experts’ CEs in the generated list
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19 Context Specification
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20 Identify Contextual Entities and CEs (Preliminary Model - Without Stereotypes and CEs)
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21 Identify Contextual Entities and CEs (Context Model - With Stereotypes and new CEs)
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22 Context Specification
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23 Verify CEs Relevance Perform surveys and interviews with potential users How they usually execute the tasks in real lifes? Which CEs they use to make decisions or accomplish tasks? Evaluate chosen CEs Evaluate Relevance Weight for each CE which are more relevant, which are less relevant according to users?
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Context Management
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26 Main Elements in a CSS
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27 Architecture Context Management
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29 Specify Context Acquisition
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30 Design Acquisition Module
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31 Design Processing Module JEOPS Define Contextual Rules
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Context Usage
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34 CxG Profile (Contextual Graphs)
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35 Example: Context Behavior Model
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36 From Contextual Graphs to Inference Rules Rule1: Conditions not (Mission.occursIn==Person.livesIn) Mission.whoPays=“CAPES” Actions CallBehavior(“Contact CAPES Official Agency”) Rule2: Conditions not (Mission.occursIn = Person.livesIn) Mission.whoPays = “missionary” Person.age < 26 Actions CallBehavior(“Lookup Transport Types”) CallBehavior(“Classify by Price” CallBehavior(“Recommend Transport”)
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37 ICARE
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39 Exemplo de Atividade do Processo
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40 Referencias http://www.cin.ufpe.br/~vvs/cemantika/docs http://www.cin.ufpe.br/~vvs/cemantika/docs Cap 4 – Arquitetura Cap 5 – Metamodelo Cap 6 – Processo Cap 7 – Exemplo ICARE UML Case Tool (sugerida) MagicDraw 15.5 Personal Meu Email: vvs@cin.ufpe.brvvs@cin.ufpe.br Meu MSN: vaninha_vieira@hotmail.com
