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Sampaio A. 's An algebraic approach to compiler design PDF

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This not only simplifies and enriches the designation possibilities in traditional modeling scenarios, it paves the way for more expressive models of big data in which the location of data elements within the three key hierarchies — classification, containment and specialization — can be clearly and concisely expressed. Keywords: Deep modeling, designation, level-agnostic modeling language, linguistic classification, ontological classification. 1 Introduction The expressiveness of the textual information contained in the “headers” of model elements has a major impact on the overall quality of graphical models and their ability to convey domain information effectively.

38 K. S. Kolovos Fig. 1. High-level overview of the contents of a library model index (persisted in a NoSQL graph database) – Type Nodes. These represent metamodel types (EClasses in EMF terminology) and contain their name. They are linked with relationships to their (model) Element instances. – Element Nodes. These represent model elements (EObject s in EMF terminology) and can contain their attributes (as properties) and their references (to other model elements) as relationships to them. – Indexes.

The approach can also be used to enhance DSLs created with a multi-level modeling environment such as Melanee [2]. In such a scenario designation could be employed to enrich naming in graphical and textual DSLs. Designation can also be used to identify model elements in constraint and transformation languages. The designation approach described in this paper is implemented in our deep modeling tool Melanee. Each model element’s designation is controllable via a small Designation Query Language.

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An algebraic approach to compiler design by Sampaio A.


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