Model-driven software engineering in practice (eBook, 2012) [WorldCat.org]
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Model-driven software engineering in practice
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Model-driven software engineering in practice

Author: Marco Brambilla; Jordi Cabot; Manuel Wimmer
Publisher: [San Rafael, Calif.] : Morgan & Claypool, ©2012.
Series: Synthesis lectures on software engineering, #1.
Edition/Format:  eBook : Document : EnglishView all editions and formats
Summary:
This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Marco Brambilla; Jordi Cabot; Manuel Wimmer
ISBN: 9781608458837 1608458830 1608458822 9781608458820
OCLC Number: 812196774
Notes: Title from PDF title page (Morgan & Claypool, viewed Oct. 8, 2012).
Description: 1 online resource (xv, 166 pages) : illustrations
Contents: 1. Introduction --
1.1 Purpose and use of models --
1.2 Modeling for software development --
1.3 How to read this book. 2. MDSE principles --
2.1 MDSE basics --
2.2 Lost in acronyms: the MD* jungle --
2.3 Overview of the MDSE methodology --
2.4 MDSE adoption in industry --
2.5 Tool support --
2.6 Criticisms of MDSE. 3. MDSE use cases --
3.1 Automating software development --
3.2 System interoperability --
3.3 Reverse engineering. 4. Model-driven architecture (MDA) --
4.1 MDA definitions and assumptions --
4.2 The modeling levels: CIM, PIM, PSM --
4.3 Mappings --
4.4 General-purpose and domain-specific languages in MDA --
4.5 Architecture-driven modernization. 5. Integration of MDSE in your development process --
5.1 Introducing MDSE in your software development process --
5.2 Traditional development processes and MDSE --
5.3 Agile and MDSE --
5.4 Domain-driven design and MDSE --
5.5 Test-driven development and MDSE. 6. Modeling languages at a glance --
6.1 Anatomy of modeling languages --
6.2 General-purpose vs. domain-specific modeling languages --
6.3 General-purpose modeling: the case of UML --
6.4 UML extensibility: the middle way between GPL and DSL --
6.5 Overview on DSLs --
6.6 Defining modeling constraints (OCL). 7. Developing your own modeling language --
7.1 Metamodel-centric language design --
7.2 Example DSML: sWML --
7.3 Abstract syntax development --
7.4 Concrete syntax development. 8. Model-to-model transformations --
8.1 Model transformations and their classification --
8.2 Exogenous, out-place transformations --
8.3 Endogenous, in-place transformations --
8.4 Mastering model transformations. 9. Model-to-text transformations --
9.1 Basics of model-driven code generation --
9.2 Code generation through programming languages --
9.3 Code generation through M2T transformation languages --
9.4 Mastering code generation --
9.5 Excursus: code generation through M2M transformations and TCS. 10. Managing models --
10.1 Model interchange --
10.2 Model persistence --
10.3 Model comparison --
10.4 Model versioning --
10.5 Model co-evolution --
10.6 Global model management --
10.7 Model quality --
10.7.1 Verifying models. 11. Summary --
Bibliography --
Authors' biographies.
Series Title: Synthesis lectures on software engineering, #1.
Responsibility: Marco Brambilla, Jordi Cabot, Manuel Wimmer.
More information:

Abstract:

This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis.

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