Download Engineering Modeling Languages: Turning Domain Knowledge by Benoit Combemale, Robert France, Jean-Marc Jézéquel, PDF

By Benoit Combemale, Robert France, Jean-Marc Jézéquel, Bernhard Rumpe, James Steel, Didier Vojtisek

Written through most popular specialists within the box, Engineering Modeling Languages provides end-to-end insurance of the engineering of modeling languages to show area wisdom into tools.

The ebook presents a definition of alternative forms of modeling languages, their instrumentation with instruments akin to editors, interpreters and turbines, the combination of a number of modeling languages to accomplish a method view, and the validation of either versions and instruments. commercial case stories, throughout various program domain names, are incorporated to attest to the advantages provided by means of the various thoughts. The ebook additionally incorporates a number of easy labored examples that introduce the concepts to the beginner user.

The publication is based in major elements. the 1st half is prepared round a stream that introduces readers to version pushed Engineering (MDE) options and applied sciences in a practical demeanour. It starts off with definitions of modeling and MDE, after which strikes right into a deeper dialogue of ways to specific the data of specific domain names utilizing modeling languages to ease the advance of platforms within the domains.

The moment a part of the booklet provides examples of purposes of the model-driven method of sorts of software program platforms. as well as illustrating the unification strength of types in several software program domain names, this half demonstrates applicability from diversified beginning issues (language, company wisdom, regular, etc.) and specializes in diversified software program engineering actions comparable to Requirement Engineering, research, layout, Implementation, and V&V.

Each bankruptcy concludes with a small set of workouts to assist the reader ponder what was once discovered or to dig additional into the examples. Many examples of versions and code snippets are awarded in the course of the ebook, and a supplemental site good points all the types and courses (and their linked tooling) mentioned within the book.

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Semantic Foundations of MDE: the Meaning of Models . 1 Basics of Denotational Semantics . . . . . . . . . 2 Underspecification and Interpretation in the Real World . . . . . . . . . . . . . . . . . . . . . . . 3 Operations on Models . . . . . . . . . . . . . . . Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2 4 5 9 10 10 11 14 14 15 16 17 his chapter introduces the notion of the model as an abstraction of an aspect of reality built for a given purpose.

Taking into account more than one aspect at the same time is a little bit trickier, but many successful large-scale projects are there in industry to show us that engineers do ultimately manage to sort it out (most of the time). The real challenge in a product-line context is that the engineer wants to be able to change her mind as to which version or which variant of any particular aspect she wants in the system. And she wants to do it cheaply, quickly, and safely. For that, repeating by hand the tedious weaving of every aspect is not an option.

From far away galaxies and black holes, to human social behaviors, biological processes, and down to sub-atomic particle physics, complexity prevails. Scientists and engineers engage in modeling activities to better understand the complex processes, artifacts, and other phenomena they are studying or constructing. These models make explicit, among other things, the assumptions made, logical consequences of the assumptions, and the data on which current understanding is based. , what happens when assumptions are changed) [36].

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