Table Of Content
Chapter Summary xi Chapter 1. Model Transformation: A Survey of the State of the Art 1 Tom MENS 1.1. Model-driven engineering 1 1.2. Model transformation 2 1.3. Model transformation languages 5 1.4. Model transformation activities 8 1.5. Conclusion 14 1.6. Acknowledgements 14 1.7. Bibliography 15 Chapter 2. Model-Based Code Generation 21 Chris RAISTRICK 2.1. Introduction 21 2.2. The model-driven architecture (MDA) process 22 2.3. The automated approach to code generation 23 2.4. Domain modeling 25 2.5. The executable UML (xUML) formalism 29 2.6. System generation 31 2.7. Executable UML to code mappings 34 2.8. Conclusions 41 2.9. Bibliography 42 Chapter 3. Testing Model Transformations: A Case for Test Generation from Input Domain Models 43 Benoit BAUDRY 3.1. Introduction 43 3.2. Challenges for testing systems with large input domains 46 3.3. Selecting test data in large domains 52 3.4. Metamodel-based test input generation 58 3.5. Conclusion 67 3.6. Acknowledgements 68 3.7. Bibliography 68 Chapter 4. Symbolic Execution-Based Techniques for Conformance Testing 73 Christophe GASTON, Pascale LE GALL, Nicolas RAPIN and Assia TOUIL 4.1. Context 73 4.2. Input output symbolic transition systems 79 4.3. Symbolic execution 84 4.4. Conformance testing for IOSTS 87 4.5. Concluding remarks 96 4.6. Bibliography 101 Chapter 5. Using MARTE and SysML for Modeling Real-Time Embedded Systems 105 Huascar ESPINOZA, Daniela CANCILA, Sébastien GÉRARD and Bran SELIC 5.1. Introduction 105 5.2. Background 108 5.3. Scenarios of combined usage 113 5.4. Combination Strategies 125 5.5. Related work 130 5.6. Conclusion 133 5.7. Acknowledgements 134 5.8. Bibliography 134 Chapter 6. Software Model-based Performance Analysis 139 Dorina C. PETRIU 6.1. Introduction 139 6.2. Performance models 142 6.3. Software model with performance annotations 148 6.4. Mapping from software to performance model 155 6.5. Using a pivot language: Core Scenario Model (CSM) 158 6.6. Case study performance model 160 6.7. Conclusions 162 6.8. Acknowledgements 163 6.9. Bibliography 163 Chapter 7. Model Integration for Formal Qualification of Timing-Aware Software Data Acquisition Components 167 Jean-Philippe BABAU, Philippe DHAUSSY and Pierre-Yves PILLAIN 7.1. Introduction 167 7.2. System modeling 170 7.3. Variation points modeling 182 7.4. Experiments and results 189 7.5. Conclusion 194 7.6. Bibliography 195 Chapter 8. SoC/SoPC Development using MDD and MARTE Profile 201 Denis AULAGNIER, Ali KOUDRI, Stéphane LECOMTE, Philippe SOULARD, Joël CHAMPEAU, Jorgiano VIDAL, Gilles PERROUIN and Pierre LERAY 8.1. Introduction 201 8.2. Related works 203 8.3. MOPCOM process and models 206 8.4. Application 210 8.5. System analysis 211 8.6. Abstract modeling level 214 8.7. Execution modeling level 216 8.8. Detailed modeling level 220 8.9. Tooling Support 223 8.10. HDL Code Generation 225 8.11. Conclusion 228 8.12. Acknowledgements 229 8.13. Bibliography 229 List of Authors 233 Index 237
Synopsis
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., 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 presentations given at the Summer School "MDE for Embedded Systems" held at Brest, France, in September 2004.
