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Model-driven engineering for distributed real-time systems : MARTE modeling, model transformations and their usages /

Model-based development methods, and supporting technologies, can provide the techniques and tools needed to address the dilemma between reducing system development costs and time, and developing increasingly complex systems. This book provides the information needed to understand and apply model-dr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Babau, Jean-Philippe
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken, NJ : Iste ; Wiley, 2010.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 0 0 |a Model-driven engineering for distributed real-time systems :  |b MARTE modeling, model transformations and their usages /  |c edited by Jean-Philippe Babau [and others]. 
260 |a London :  |b Iste ;  |a Hoboken, NJ :  |b Wiley,  |c 2010. 
300 |a 1 online resource (xv, 238 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Cover; Model-Driven Engineering for Distributed Real-Time Systems; Title Page; Copyright Page; Table of Contents; Chapter Summary; Chapter 1. Model Transformation: A Survey of the State of the Art; 1.1. Model-driven engineering; 1.2. Model transformation; 1.2.1. Definitions; 1.2.2. Taxonomy; 1.3. Model transformation languages; 1.4. Model transformation activities; 1.5. Conclusion; 1.6. Acknowledgements; 1.7. Bibliography; Chapter 2. Model-Based Code Generation; 2.1. Introduction; 2.2. The model-driven architecture (MDA) process; 2.3. The automated approach to code generation 
505 8 |a 2.4. Domain modeling2.5. The executable UML (xUML) formalism; 2.6. System generation; 2.7. Executable UML to code mappings; 2.8. Conclusions; 2.9. Bibliography; Chapter 3. Testing Model Transformations: A Case for Test Generation from Input Domain Models; 3.1. Introduction; 3.2. Challenges for testing systems with large input domains; 3.2.1. Large set of input data; 3.2.2. Configurable systems; 3.2.3. Grammarware and model transformations; 3.2.4. Testing challenges; 3.3. Selecting test data in large domains; 3.3.1. Category partition; 3.3.2. Combinatorial interaction testing 
505 8 |a 3.4. Metamodel-based test input generation3.4.1. Metamodel coverage criteria; 3.4.2. Model and object fragments for test adequacy criteria; 3.4.3. Discussion; 3.4.4. Automatic synthesis of test models; 3.5. Conclusion; 3.6. Acknowledgements; 3.7. Bibliography; Chapter 4. Symbolic Execution-Based Techniques for Conformance Testing; 4.1. Context; 4.1.1. Conformance testing: an introduction; 4.1.2. Conformance relation; 4.1.3. An overview of the approach; 4.2. Input output symbolic transition systems; 4.2.1. Data types; 4.2.2. Input/output symbolic transition systems; 4.2.3. Semantics 
505 8 |a 4.3. Symbolic execution4.4. Conformance testing for IOSTS; 4.4.1. Test purposes; 4.4.2. Preliminary definitions and informal description; 4.4.3. Inference rules; 4.5. Concluding remarks; 4.5.1. Choosing test purposes; 4.5.2. Implementation issues; 4.6. Bibliography; Chapter 5. Using MARTE and SysML for Modeling Real-Time Embedded Systems; 5.1. Introduction; 5.2. Background; 5.2.1. UML profiling capabilities; 5.2.2. SysML and MARTE modeling capabilities; 5.3. Scenarios of combined usage; 5.3.1. Defining architecture frameworks; 5.3.2. Requirements engineering 
505 8 |a 5.3.3. System-level design integration5.3.4. Engineering/quantitative analysis; 5.4. Combination Strategies; 5.4.1. Issues; 5.4.2. Strategies; 5.5. Related work; 5.6. Conclusion; 5.7. Acknowledgements; 5.8. Bibliography; Chapter 6. Software Model-based Performance Analysis; 6.1. Introduction; 6.2. Performance models; 6.2.1. Queuing network models; 6.2.2. Layered queuing network model; 6.3. Software model with performance annotations; 6.3.1. Performance domain model; 6.3.2. Source model example; 6.4. Mapping from software to performance model 
520 |a Model-based development methods, and supporting technologies, can provide the techniques and tools needed to address the dilemma between reducing system development costs and time, and developing increasingly complex systems. This book provides the information needed to understand and apply model-drive engineering (MDE) and model-drive architecture (MDA) approaches to the development of embedded systems. Chapters, written by experts from academia and industry, cover topics relating to MDE practices and methods, as well as emerging MDE technologies. Much of the writing is based on the presentat. 
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650 0 |a Model-driven software architecture. 
650 0 |a Electronic data processing  |x Distributed processing. 
650 0 |a Real-time data processing. 
650 0 |a UML (Computer science) 
650 6 |a Architecture logicielle guidée par modèle. 
650 6 |a Traitement réparti. 
650 6 |a Temps réel (Informatique) 
650 6 |a UML (Informatique) 
650 7 |a COMPUTERS  |x Software Development & Engineering  |x General.  |2 bisacsh 
650 7 |a COMPUTERS  |x Data Processing.  |2 bisacsh 
650 7 |a Electronic data processing  |x Distributed processing.  |2 fast  |0 (OCoLC)fst00906987 
650 7 |a Model-driven software architecture.  |2 fast  |0 (OCoLC)fst01745121 
650 7 |a Real-time data processing.  |2 fast  |0 (OCoLC)fst01091219 
650 7 |a UML (Computer science)  |2 fast  |0 (OCoLC)fst01160249 
700 1 |a Babau, Jean-Philippe. 
776 0 8 |i Print version:  |t Model-driven engineering for distributed real-time systems.  |d London : Iste ; Hoboken, NJ : Wiley, 2010  |w (DLC) 2010027955 
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