From MDD concepts to experiments and illustrations

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Publication Information:

London : ISTE, 2006

ISBN:

9781905209590

Subject Term:

Embedded computer systems -- Design and construction

Computer software -- Development

Added Author:

Babau, Jean-Philippe

Champeau, Joel

Gerard, Sebastien

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Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010124152	TK7895.E42 F76 2006	Open Access Book	Book	Searching... Unknown

In the context of Distributed and Real-time Embedded Systems (DRES), system developers are faced with reducing system development cost and time while developing correct (relating to safe and QoS properties) and increasingly complex systems. To take up this challenge, Model Driven Development (MDD) advocates the intensive use of models and model transformations on several levels of abstraction.

This book includes contributions from academic and professional experts on a range of topics related to MDD practices, methods and emerging technologies. After introducing general concepts about modeling and how to implement model transformations, two presentations provide an overview of the MARTE profile. Coverage is then given to the most common aspects of MDD for DRES: structuring architectures using components, designing hardware architecture, evaluation and validation through tests and performance analysis. Finally, guidance is given as to how and why MDD should be used by presenting a tool to support MDD and describing an industrial application of MDD concepts.

Author Notes

Jean-Philippe Babau is an Assistant Professor in the Computer Science department at INSA, Lyon, France. His research interests include the use of formal models for architecture description to build real-time embedded systems.

Joël Champeau is a teacher-researcher in the New Technologies Development Laboratory at ENSIETA, Brest, France. He specializes in applying MDE methodology and techniques to a system modeling framework for embedded systems.

Sébastien Gérard is researcher at the LIST in the CEA (the French Atomic Energy Commission) in the LSP Group (Software for Process Safety) where he leads the research theme: "Model-based software engineering for real-time embedded systems".

Jean-Philippe Babau and Joel Champeau and Sebastien GerardPierre-Alain MullerDevon Simmonds and Robert France and Sudipto GoshSebastien Gerard and Huascar EspinozaDorina Petriu and Antonino SabettaIvica CrnkovicPierre Boulet and Cedric Dumoulin and Antoine HonoreSamuel Rouxel and Guy Gogniat and Jean-Philippe Diguet and Jean-Luc Philippe and Christophe MoyBorislav Gajanovic and Hans Gronniger and Bernhard RumpeJoel Champeau and Philippe Dhaussy and Francois Mekerke and Jean Charles RogerDavid ChemouilPatrick Farail and Pierre Gaufillet and Agusti Canals and Christophe Le Camus and David Sciamma and Pierre Michel and Xavier Cregul and Marc PantelJean-Luc Voirin

Introduction	p. 11
Chapter 1 On Metamodels and Language Engineering	p. 13
1.1 Introduction	p. 13
1.2 Modeling abstract syntax	p. 14
1.3 Modeling operational semantics	p. 16
1.4 Modeling concrete syntax	p. 18
1.5 Related works	p. 21
1.6 Conclusion	p. 21
1.7 References	p. 22
Chapter 2 Using Directives to Implement Model Transformations	p. 25
2.1 Introduction	p. 25
2.2 Model Transformation Using Embedded Directives	p. 26
2.3 Transformations directives	p. 27
2.3.1 The source and rename Directives	p. 27
2.3.2 The redefine Directive	p. 29
2.3.3 The new and exclude Directives	p. 30
2.4 Transformation schemas	p. 31
2.5 Class Model transformation - Illustration Example	p. 32
2.5.1 Server Distribution Aspect Class Model	p. 32
2.5.2 COBRA Distribution Class Diagram Transformation Schema	p. 33
2.5.3 Processing Transformation Directives	p. 35
2.6 Discussion and Conclusion	p. 37
2.6.1 Model Transformation Using QVT	p. 37
2.7 References	p. 41
Chapter 3 Rationale of the UML profile for Marte	p. 43
3.1 Introduction	p. 43
3.2 Outlines of Marte	p. 45
3.2.1 Marte and other OMG standards related RT/E	p. 45
3.2.2 A foundation for model driven techniques	p. 46
3.2.3 How should the specification be used?	p. 47
3.3 Profile architecture	p. 51
3.4 References	p. 52
Chapter 4 From UML to Performance Analysis Models by Abstraction-raising Transformation	p. 53
4.1 Introduction	p. 53
4.2 Conceptual Approach for Abstracting-raising Transformation	p. 55
4.3 Two-step abstraction-raising transformation	p. 57
4.3.1 Description of the Source Model	p. 57
4.3.2 Description of the Target Model	p. 58
4.3.3 Mapping Approach	p. 59
4.4 Two-step abstraction-raising transformation	p. 59
4.4.1 Proposed Approach	p. 59
4.4.2 Graph Grammar used for Abstraction Raising	p. 61
4.4.3 Mapping from the Extended Source Model to LQN	p. 63
4.5 Application of the proposed transformation	p. 64
4.5.1 Parsing	p. 64
4.5.2 Generating the LQN relational mapping	p. 66
4.6 Conclusion	p. 68
4.7 References	p. 69
Chapter 5 Component-Based Software Engineering for Embedded Systems	p. 71
5.1 Embedded Systems	p. 71
5.2 Specific requirement and aspects of Embedded Systems	p. 72
5.3 Component-based Basic Concepts for Embedded Systems	p. 74
5.4 Specific Demands on Component-based Software Engineering	p. 75
5.4.1 Component Interface	p. 76
5.4.2 Component deployment and composition	p. 76
5.5 State of the CBSE practice and experience for Embedded Systems	p. 77
5.5.1 Automotive Industry	p. 78
5.5.2 Industrial Automation	p. 81
5.5.3 Consumer Electronics	p. 82
5.5.4 Other domains	p. 84
5.6 Work on standardization	p. 84
5.6.1 The Unified Modelling Language (UML)	p. 84
5.6.2 Real-time CORBA	p. 86
5.6.3 Programmable Logic Controllers: the IEC 61131-3 standard	p. 86
5.6.4 Other standards and de-facto standards	p. 87
5.7 The needs and priorities in research	p. 88
5.8 References	p. 89
Chapter 6 Model Driven Engineering for System-on-Chip Design	p. 91
6.1 Introduction	p. 91
6.2 SoC Design Challenges and Model Driven Engineering	p. 92
6.2.1 Cost	p. 92
6.2.2 Silicon complexity	p. 93
6.2.3 Productivity	p. 93
6.2.4 Model Driven Engineering Assets	p. 95
6.3 UML Profiles for SoC Design	p. 95
6.3.1 Embedded System Modeling and Analysis	p. 95
6.3.2 Electronic System Level Modeling	p. 96
6.4 MDE Approach to SoC Co-Modeling	p. 97
6.4.1 Multiple Models in SoC	p. 98
6.4.2 Metamodels for the "Y" Design	p. 98
6.4.3 From High Level Models	p. 99
6.4.4 To Technology Models	p. 100
6.5 Gaspard2 Development Environment	p. 102
6.5.1 Simplify the work with good tools	p. 103
6.5.2 Transformation Engine: ModTransf	p. 103
6.5.3 From UML2 Modelers to the Gaspard2 Environment	p. 104
6.5.4 Model Refactoring and Deployment Metmodel	p. 105
6.5.5 Example of Concept Transformation	p. 106
6.5.6 Evolution of our environment	p. 107
6.6 Conclusion	p. 107
6.7 References	p. 108
Chapter 7 Schedulability Analysis and MDD	p. 111
7.1 Introduction	p. 111
7.2 Related Work	p. 113
7.3 Global Approach	p. 114
7.3.1 Application Specification (1st step)	p. 114
7.3.2 Platform Specification (2nd step)	p. 116
7.3.3 Application - Platform Mapping (3rd step)	p. 116
7.3.3 Analysis results (4th step)	p. 117
7.4 UML Modeling	p. 118
7.4.1 Attributes identification	p. 118
7.4.2 Analysis details	p. 120
7.5 Real time analysis tool (RTDT)	p. 121
7.5.1 Real time scheduling strategy	p. 121
7.5.2 Design space exploration for HW/SW partitioning	p. 122
7.6 UMTS FDD Case Study	p. 126
7.7 Conclusion	p. 128
7.8 Acknowledgements	p. 129
7.9 References	p. 129
Chapter 8 Model Driven Testing of Time Sensitive Distributed Systems	p. 131
8.1 Model Driven Testing	p. 131
8.2 Asynchronous Communication in Distributed Systems	p. 133
8.3 The Alternative Bit Protocol	p. 135
8.3.1 Informal Description of the ABP Components	p. 135
8.3.2 Stream-Based Specification	p. 137
8.3.3 A Mapping to Haskell	p. 139
8.3.4 Executing the Model	p. 141
8.4 Strategies for Testing Distributed, Asynchronously Communicating Systems	p. 141
8.4.1 Rules for Testing of Distributed Functionally Specified Models	p. 142
8.5 Implementing Tests in Haskell	p. 144
8.5.1 Test Infrastructure	p. 144
8.5.2 Tests for the ABP Components	p. 145
8.6 Discussion of Results	p. 146
8.7 References	p. 147
Chapter 9 Model Management for Formal Validation	p. 149
9.1 Introduction	p. 149
9.2 System modeling framework	p. 151
9.2.1 Separation of concerns	p. 151
9.2.2 Domain modeling	p. 151
9.2.3 Model Management	p. 152
9.2.4 MDD Implementation	p. 153
9.2.5 System modeling framework conclusion	p. 161
9.3 Building models for formal verification	p. 162
9.3.1 Functionalities of the environment under development	p. 163
9.3.2 Observer and context-based model checking	p. 164
9.3.3 Verification contexts	p. 164
9.3.4 Model transformation techniques	p. 165
9.3.5 A language to specific contexts	p. 165
9.3.6 Translation of CxUCC to observers and concrete contexts	p. 168
9.3.7 Translation of CxUCC to an a-context and an observer set	p. 168
9.3.8 IF-2 implementation	p. 171
9.4 Conclusion and future work	p. 172
9.5 References	p. 173
Chapter 10 The Design of Space Systems	p. 175
10.1 Introduction	p. 175
10.1.1 Context	p. 175
10.1.2 Outline	p. 176
10.1.3 Notice	p. 176
10.2 Space Systems	p. 177
10.2.1 Applications	p. 177
10.2.2 Two Views on the Architecture of Space Systems	p. 177
10.3 Design	p. 182
10.3.1 Process	p. 182
10.3.2 By the way, what is so special about Space Systems?	p. 186
10.3.3 On-Board Software	p. 188
10.4 Modelling	p. 190
10.4.1 Current Possibilities	p. 190
10.4.2 Trends and Projects	p. 190
10.5 Conclusion	p. 192
10.6 References	p. 193
Chapter 11 Topcased - An Open Source Development Environment for Embbeded Systems	p. 195
11.1 Introduction	p. 195
11.2 Requirements and Topcased Architecture	p. 198
11.3 Model Driven Engineering and meta-modeling	p. 200
11.4 Generating model editors	p. 201
11.5 Acknowledgment	p. 204
11.6 References	p. 205
11.7 Glossary	p. 206
Chapter 12 Facing Industrial Challenges: A Return on an Experiment on Model-driven Engineering	p. 209
12.1 Introduction	p. 209
12.2 A quick overview of our understanding of MDE	p. 211
12.3 Expected Benefits of Model-driven Engineering	p. 212
12.4 Applying MDE Concepts in an industrial Context	p. 214
12.5 Return of Experiment and Findings on MDE Use	p. 218
12.6 Conclusion: so what about MDE?	p. 222
Index of Authors	p. 223

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