A. Ledeczi, M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason IV, G. Nordstrom, J. Sprinkle, P. Volgyesi, "The Generic Modeling Environment", Workshop on Intelligent Signal Processing, Budapest, Hungary, May 17, 2001. Home/Search Document Not in Database Summary Related Articles Check |
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....in the system through object abstraction, class hierarchies, and method call interfaces. This methodology has been adapted to design embedded and real time software, emphasizing the use of UML [15] to formally specify systems. Object oriented software environments, such as Rational Rose [7] GME [17], and DOME [31] have been applied in control system designs. Noticing that some objects usually work together to provide a logical piece of functionality, middleware oriented design advocates the encapsulation of one or more objects into conceptual services, and composing services into a ....
A. Ledeczi, M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle, and P. Volgyesi, "The Generic Modeling Environment," in Proceedings of IEEE International Workshop on Intelligent Signal Processing (WISP'2001.
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....in turn a certain level of reuseability. Compared to dominating metamodeling approaches, VPM has the following distinguishing characteristics. VPM is a multilevel metamodeling framework. The majority of metamodeling approaches (including ones that build upon the MOF standard [23] GME [19], PROGRES [33] or BOOM [26] considers only a predefined number of metalevels. While only [3] a framework for MML) and [4] supports multilevel metamodeling. By the dynamic reconfiguration of type instance relationship between models, VPM provides such a solution that avoids the problem of ....
....approaches, models and operations on them are arranged in a hierarchical structure based on a simple refinement calculus that allows a controlled reuse of information in different domains. Initiatives for a reusable and hierarchical static metamodeling framework include MML [8] and GME [19], however, none of them provides reusability for rules. VPM supports model transformations within and between metamodels. The model transformation concepts of VPM is built on results of previous research [10,38,40] in the field. Similar applications have been reported recently in [14, 15, ....
A. Ledeczi., M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle, and P. Volgyesi. The Generic Modeling Environment. In Proc. Workshop on Intelligent Signal Processing. 2001.
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....of both static structure and dynamic behavior. Compared to dominating metamodeling approaches, VPM has the following distinguishing characteristics. VPM is a multilevel metamodeling framework. The majority of metamodeling approaches (including ones that build upon the MOF standard [17] GME [15], PROGRES [21] or BOOM [18] considers only a predefined number of metalevels. While only [3] a framework for MML) and [4] supports multilevel metamodeling. By the dynamic reconfiguration of type instance relationship between models, VPM provides such a solution that avoids the problem of ....
....approaches, models and operations on them are arranged in a hierarchical structure based on a simple refinement calculus that allows a controlled reuse of information in different domains. Initiatives for a reusable and hierarchical static metamodeling framework include MML [7] and GME [15], however, none of them provides reusability for rules. VPM supports model transformations within and between metamodels. The model transformation concepts of VPM is built on results of previous research [27, 28] in the field. Similar applications have been reported recently in [10, 11] ....
A. Ledeczi., M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle, and P. Volgyesi. The Generic Modeling Environment. In Proc. Workshop on Intelligent Signal Processing. 2001.
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Ledeczi., A., M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle and P. Volgyesi, The Generic Modeling Environment, in: Proc. Workshop on Intelligent Signal Processing, 2001.
An Open Visualization Framework for Metamodel-Based Modeling.. - Domokos, Varro (2002) (Correct)
....; 0 PIT5A#QU8 1 0 ; 8 A 6 8 Q 0 P 2 9WVWA 4KJLQU8 63X7P 0 8 P 8 Y Z [E #] W # L ( a b ( #b a# rules, where well formedness of a sentence is decided by graphical parsing algorithms. On the other hand, the aim of metamodeling tools (such as GME [6], PROGRES [8] or VIATRA [10] is to define first the abstract syntax of arbitrary modeling languages in a visual UML based notation, while the concrete visual representations of domain specific objects are typically based on visual stereotypes. As its benchmark application, the Unified Modeling ....
Ledeczi., A., M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle and P. Volgyesi, The Generic Modeling Environment, in: Proc. Workshop on Intelligent Signal Processing, 2001.
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A. Ledeczi., M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle, and P. Volgyesi. The Generic Modeling Environment. In Proc. Workshop on Intelligent Signal Processing, 2001.
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....of both static structure and dynamic behavior. Compared to dominating metamodeling approaches, VPM has the following distinguishing characteristics. VPM is a multilevel metamodeling framework. The majority of metamodeling approaches (including ones that build upon the MOF standard [17] GME [15], PROGRES [22] or BOOM [18] considers only a predefined number of metalevels. While only [3] a framework for MML) and [4] supports multilevel metamodeling. By the dynamic reconfiguration of type instance relationship between models, VPM provides such a solution that avoids the problem of ....
....approaches, models and operations on them are arranged in a hierarchical structure based on a simple refinement calculus that allows a controlled reuse of information in different domains. Initiatives for a reusable and hierarchical static metamodeling framework include MML [7] and GME [15], however, none of them provides reusability for rules. VPM supports model transformations within and between metamodels. The model transformation concepts of VPM is built on results of previous research ( 26, 28] in the field . Similar applications have been reported recently in [10, ....
A. Ledeczi., M. Maroti, A. Bakay, G. Karsai, J. Garrett, C. Thomason, G. Nordstrom, J. Sprinkle, and P. Volgyesi. The Generic Modeling Environment. In Proc. Workshop on Intelligent Signal Processing. 2001.
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