By Vytautas Stuikys, Robertas Damasevicius
Meta-Programming and Model-Driven Meta-Program improvement: ideas, methods and Techniques offers an total research of meta-programming, concentrating on insights of meta-programming strategies, heterogeneous meta-program improvement approaches within the context of model-driven, feature-based and transformative approaches.
The primary techniques of meta-programming are nonetheless now not completely understood, during this good geared up ebook divided into 3 elements the authors support to deal with this. Chapters comprise: Taxonomy of basic ideas of meta-programming; proposal of structural heterogeneous meta-programming in response to the unique meta-language; Model-driven thought and feature-based modeling to the advance means of meta-programs; identical meta-program adjustments and metrics to judge complexity of feature-based types and meta-programs; number of educational learn case reviews inside of diverse program domain names to experimentally be certain the stability of the investigated approaches.
Both authors are professors at Kaunas collage of know-how with 15 years examine and educating event within the box. Meta-Programming and Model-Driven Meta-Program improvement: rules, approaches and Techniques is geared toward post-graduates in desktop technology and software program engineering and researchers and application process builders wishing to increase their wisdom during this quickly evolving region of technology and technology.
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Extra info for Meta-Programming and Model-Driven Meta-Program Development: Principles, Processes and Techniques (Advanced Information and Knowledge Processing)
The answer is the higher-level parameterization as a tool to implement generalization or integration in meta-program design (see generalization axis in Fig. 1). Now, we can formulate the next principle of meta-programming. The fifth principle of acquiring knowledge in meta-programming is the integration of the prior separated concepts through the introduction of high-level parameterization enabling to connect concepts of higher and lower levels in some well-established process within the meta-program specification.
The Webster Online Dictionary defines taxonomy as: A systematic arrangement of objects or concepts showing the relations between them, especially one including a hierarchical arrangement of types in which categories of objects are classified as subtypes of more abstract categories, starting from one or a small number of top categories, and descending to more specific types through an arbitrary number of levels. Taxonomy plays a significant role in cognition of any discipline because ‘there is nothing more basic than categorization to our thought, perception, action and speech’ [Lak87].
Further, multiple kinds of concepts may be relevant simultaneously, and they may overlap and interact, as features and classes do. Summarizing the benefits of the approach, we can conclude that the term MDSoC refers to flexible and incremental separation, modularization and integration of software artefacts based on any number of concepts. It overcomes limitations of existing mechanisms by permitting clean separation of multiple, potentially overlapping and interacting concepts simultaneously, with support for on-demand re-modularization to encapsulate new concepts at any time.