From MDD Concepts to Experiments and Illustrations
1. Edition October 2008
224 Pages, Hardcover
Wiley & Sons Ltd
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.
Chapter 1. On Metamodels and Language Engineering (Pierre-Alain Muller).
1.1 Introduction.
1.2 Modeling Abstract Syntax.
1.3 Modeling Operational Semantics.
1.4 Modeling Concrete Syntax.
1.5 Related Works.
1.6 References.
Chapter 2. Using Directives to Implement Model Transformations (Devon Simmonds et al).
2.1 Introduction.
2.2 Model Transformation Using Embedded Directives.
2.3 Transformations Directives.
2.4 Transformation Schemas.
2.5 Class Model Transformation - Illustration Example.
2.6 Discussion and Conclusion.
2.7 References.
Chapter 3. Rationale of the UML Profile for Marte (Sébastien Gérard and Huascar Espinoza).
3.1 Introduction.
3.2 Outlines of Marte.
3.3 Profile Architecture.
3.4 References.
Chapter 4. From UML to Performance Analysis Models by Abstraction-raising Transformation (Dorina Petriu and Antonino Sabetta).
4.1 Introduction.
4.2 Conceptual Approach for Abstracting-raising Transformation.
4.3 Two-step Abstracting-raising Transformation.
4.4 Two-step Abstration-raising Transformation.
4.5 Application of the Proposed Transformation.
4.6 Conclusion.
4.7 References.
Chapter 5. Component-Based Software Engineering for Embedded Systems (Ivica Crnkovic).
5.1 Embedded Systems.
5.2 Specfic Requirement and Aspects of Embedded Systems.
5.3 Component-based Basic Concepts for Embedded Systems.
5.4 Specfic Demands on Component-based Software Engineering.
5.5 State of the CBSE Practice and Experience for Embedded Systems.
5.6 Work on Standardization.
5.7 The Needs and Priorities in Research.
5.8 References.
Chapter 6. Model Driven Engineering for System-on-Chip Design (Pierre Boulet et al).
6.1 Introduction.
6.2 SoC Design Challenges and Model Driven Engineering.
6.3 UML Profiles for SoC Design.
6.4 MDE Approach to SoC Design.
6.5 Gaspard2 Development Environment.
6.6 Conclusion.
6.7 References.
Chapter 7. Schedulability Analysis and MDD (Samuel Rouxel et al).
7.1 Introduction.
7.2 Related Work.
7.3 Global Approach.
7.4 UML Modeling.
7.5 Real Time Analysis Tool (RTDT).
7.6 UMTS FDD Case Study.
7.7 Conclusion.
7.8 Acknowledgements.
7.9 References.
Chapter 8. Model Driven Testing of Time Sensitive Distributed Systems (Borislav Gajanovic, Hans Grönniger and Bernhard Rumpe).
8.1 Model Driven Testing.
8.2 Asynchronous Communication in Distributed Systems.
8.3 The Alternative Bit Protocol.
8.4 Strategies for Testing Distributed, Asynchronously Communicating Systems.
8.5 Implementing Tests in Haskell.
8.6 Discussion of Results.
8.7 References.
Chapter 9. Model Management for Formal Validation (Joël Champeau et al).
9.1 Introduction.
9.2 System Modeling Framework.
9.3 Building Models for Formal Verification.
9.4 Conclusion and Future Work.
9.5 References.
Chapter 10. The Design of Space Systems (David Chemouil).
10.1 Introduction.
10.2 Space Systems.
10.3 Design.
10.4 Modelling.
10.5 Conclusion.
10.6 References.
Chapter 11. TOPCASED: An Open Source Development Environment for Embbeded Systems (Patrick Farail et al).
11.1 Introduction.
11.2 Requirements and TOPCASED Architecture.
11.3 Model Driven Engineering and Meta-modeling.
11.4 Generating Model Editors.
11.5 Acknowledgment.
11.6 References.
11.7 Glossary.
Chapter 12. Facing Industrial Challenges: A Return on an Experiment on Modeldriven Engineering (Jean-Luc Voirin).
12.1 Introduction.
12.2 A Quick Overview of Our Understanding of MDE.
12.3 Expected Benefits of Model-driven Engineering.
12.4 Applying MDE Concepts in an Industrial Context.
12.5 Return of Experiment and Findings on MDE Use.
12.6 Conclusion: So What About MDE?
Index of Authors.
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".
