Modeling the REA Enterprise Ontology with a Domain Specific Language

2012 ◽  
Vol 9 (1) ◽  
pp. 47-70 ◽  
Author(s):  
Tod A. Sedbrook

ABSTRACT Developing a domain specific language (DSL) to express business policies requires modeling tools for eliciting, applying, and maintaining the knowledge of business experts. This study defines a DSL meta-model and prototype to create visual business models that conform to the Resource, Event, Agent-Enterprise Ontology (REA-EO). The meta-model specifies REA-EO modeling components, and the prototype provides a visual interface to design operational and policy-level models. Code-generation templates then transform design models into executable code that supports business applications. The study describes the capabilities of the prototype and validates its use in the context of a business case. Data Availability: The paper's software modeling prototype and its companion code-generation templates are available for research purposes as open-source Visual Studio extensions and are available by contacting the author.

Author(s):  
А.С. Фролов

Представлена реализация модуля генерации параллельного программного кода на Charm++ в компиляторе проблемно-ориентированного языка программирования Green-Marl, предназначенного для разработки параллельных алгоритмов анализа статических графов. Приводится описание представления графа в генерируемом коде и способов отображения основных конструкций языка Green-Marl в параллельный код на Charm++. Проведенное оценочное тестирование с использованием типовых графовых задач (поиск кратчайших путей от заданной вершины до остальных вершин графа (SSSP), поиск связных компонент (CC) и вычисление рангов вершин с использованием алгоритма PageRank) показало, что производительность программ на Green-Marl, странслированных в Charm++, находится на одном уровне с реализациями на Charm++, разработанными вручную. The implementation of a code generation mechanism in the domain-specific language (DSL) Green-Marl compiler targeted in the Charm++ framework is presented. Green-Marl is used for the parallel static graph analysis and adopts an imperative shared memory programming model, whereas Charm++ implements a message-driven execution model. The graph representation in the generated Charm++ code and the translation of the basic Green-Marl constructs to Charm++ are described. The evaluation of the typical graph algorithms: Single-Source Shortest Path (SSSP), Connected Components (CC), and PageRank shows that the performance of Green-Marl programs translated to Charm++ is the same as for native Charm++ implementations.


2010 ◽  
Vol 7 (3) ◽  
pp. 409-440 ◽  
Author(s):  
Igor Dejanovic ◽  
Gordana Milosavljevic ◽  
Branko Perisic ◽  
Maja Tumbas

In this paper we present DOMMLite - an extensible domain specific language (DSL) for static structure definition of data base oriented applications. The model-driven engineering (MDE) approach, an emerging software development paradigm, has been used. The language structure is defined by the means of a meta model supplemented by validation rules based on Check language and extensions based on Extend language, which are parts of the openArchitectureWare framework [1]. The meta model has been defined along with the textual syntax, which enables creation, update and persistence of DOMMLite models using a common text editor. DSL execution semantics has been defined by the specification and implementation of the source code generator for a target platform with an already defined execution semantics. In order to enable model editing, a textual Eclipse editor has also been developed. DSL, defined in this way, has the capability of generating complete source code for GUI forms with CRUDS (Create-Read-Update-Delete-Search) and navigation operations [2,3,4,5].


2018 ◽  
Vol 2018 ◽  
pp. 1-26 ◽  
Author(s):  
Renata Vaderna ◽  
Željko Vuković ◽  
Igor Dejanović ◽  
Gordana Milosavljević

This paper presents a graph drawing and analysis library written in Java called GRAD and its domain-specific language for simplifying the process of laying out graphs. One of GRAD’s main goals is to provide completely automated ways of selecting and configuring a drawing algorithm, based either on the properties of a graph or on a user’s input conforming to the domain-specific language. In order to verify the quality of GRAD’s main features a user study was conducted. The participants were asked to grade diagrams visualized and laid out using different modeling tools, including one relying on GRAD, which received the best overall scores.


Author(s):  
Zuriel Morales ◽  
Cristina Magańa ◽  
José Alfonso Aguilar ◽  
Aníbal Zaldívar-Colado ◽  
Carolina Tripp-Barba ◽  
...  

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