Engineering modeling languages : turning domain knowledge into tools
著者
書誌事項
Engineering modeling languages : turning domain knowledge into tools
(Chapman & Hall/CRC innovations in software engineering and software development)
CRC Press, c2017
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Written by foremost experts in the field, Engineering Modeling Languages provides end-to-end coverage of the engineering of modeling languages to turn domain knowledge into tools.
The book provides a definition of different kinds of modeling languages, their instrumentation with tools such as editors, interpreters and generators, the integration of multiple modeling languages to achieve a system view, and the validation of both models and tools. Industrial case studies, across a range of application domains, are included to attest to the benefits offered by the different techniques. The book also includes a variety of simple worked examples that introduce the techniques to the novice user.
The book is structured in two main parts. The first part is organized around a flow that introduces readers to Model Driven Engineering (MDE) concepts and technologies in a pragmatic manner. It starts with definitions of modeling and MDE, and then moves into a deeper discussion of how to express the knowledge of particular domains using modeling languages to ease the development of systems in the domains.
The second part of the book presents examples of applications of the model-driven approach to different types of software systems. In addition to illustrating the unification power of models in different software domains, this part demonstrates applicability from different starting points (language, business knowledge, standard, etc.) and focuses on different software engineering activities such as Requirement Engineering, Analysis, Design, Implementation, and V&V.
Each chapter concludes with a small set of exercises to help the reader reflect on what was learned or to dig further into the examples. Many examples of models and code snippets are presented throughout the book, and a supplemental website features all of the models and programs (and their associated tooling) discussed in the book.
目次
What's a Model? Introduction. Modeling in Science. Modeling in Engineering. Illustrative Example: Cellula. Automata. Semantic Foundations of MDE: the Meaning of Models. Exercises. What's a Modeling Language. Why we need Modeling Languages. Concrete Syntax. Abstract Syntax. Semantics of a Modeling Languag. Exercise. Metamodeling With MOF and ECORE. Metamodel, Meta-language, Language Workbench and Meta-metamodel. Meta-Object Facility (MOF). Ecore and EMF. Representations for Machine Consumption. Illustrative Example: Metamodels for Cellular Automato. Exercises. Metamodeling With OCL. The Object Constraint Language - OCL. Advanced features of OCL. Usage of OCL for MOF. Exercises. Building Editors and Viewers. Introduction. Generic versus Specific Concrete Syntax. Visual Representations for Human Reading
Tree Editors. Diagram View (Box and Line). Textual View. Tabular View. Other Views. Model Transformation: from Contemplative. Models to Productive Models Motivations. Overview of Model Transformations. The Executable Meta-Modeling Approach. Exercises. Interpreter. Ingredients. Design pattern Interpreter
Combining the design patterns Interpreter and Visitor Aspect Weaving with Static Introduction. Exercises. Refactoring and Refinement. Foundations. Applying Model Refactoring. Illustrative Example: CAIR-Lite. Refactoring. Illustrative Example: CAER Refactoring. Applying Model Refinement. Exercises
Generators. Usefulness of text and code generation. Model-to-text transformations. Code Generation. Documentation Generation. Model Generation. Test Generation: Model-Based Validation And Verification. Exercises. Variability Management. Context of Software Product-Lines. Modeling Variability with Feature Diagrams. Advanced Variability Modeling Methods. Amalgamated Approach. Separating the Assets and the Variability Concern. Exploitation of Variability Models. MDE for SPL: Wrap up. Scaling up Modeling. Heterogeneous Modeling. Model Merging and Weaving. Language Reuse with Model Typing. Model Slicing. Software Language Engineering. Exercises. Wrap-up: Metamodeling Process. Actors. Tools to build. Metamodeling process. Metamodeling process variants Metamodeling Guidelines. Illustrative Example: Process followed to build Cellular Automaton tooling. Language Engineering: The Logo Example. Introduction. Meta-Modeling Logo. Weaving static semantics. Weaving dynamic semantics to get an interpreter. Compilation as a kind of Model Transformation. Model to Model. Transformation. Concrete Syntax. Exercices. Model Driven Engineering of a Role Playing Game. Introduction. Meta-Modeling the SRD 3.5. Weaving dynamic semantics to get an interpreter. Compilation to get a Web based editor. Testing a Rule Set. Exercices. Civil/Construction Engineering: The BIM Example. Introduction. Abstract Syntax of Buildings. Model Storage: Large Models. Concrete Syntax. Case Study: Clash Detection. Case Study: Quantity Takeoff. Application examples. Legal Information on the SRD
「Nielsen BookData」 より