Graph rewriting and transformation (GReAT) a solution for the model integrated computing (MIC) bottleneck

Graph grammars and transformations (GGT) have been a field of theoretical study for over two decades. However, it has produced only a handful of practical implementations. GGT needs a widely used practical application to exploit its potential. On the other hand Model Integrated Computing (MIC) has g...

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Veröffentlicht in:18th IEEE International Conference on Automated Software Engineering, 2003. Proceedings S. 364 - 368
1. Verfasser: Agrawal, Aditya
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Piscataway, NJ, USA IEEE Press 06.10.2003
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Analytical models
Application software
Computer industry
Intersymbol interference
Metamodeling
Microwave integrated circuits
Performance analysis
Software systems
Theory of computation
Theory of computation > Formal languages and automata theory
Theory of computation > Formal languages and automata theory > Formalisms
Theory of computation > Formal languages and automata theory > Formalisms > Rewrite systems
Theory of computation > Formal languages and automata theory > Grammars and context-free languages
Unified modeling language
Visualization
ISBN:0769520359, 9780769520353
ISSN:1938-4300
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Zusammenfassung:Graph grammars and transformations (GGT) have been a field of theoretical study for over two decades. However, it has produced only a handful of practical implementations. GGT needs a widely used practical application to exploit its potential. On the other hand Model Integrated Computing (MIC) has grown from the practical standpoint and is widely used and recognized in both industry and practice today. In the MIC approach, developing model-interpreters is time consuming and costly, proving to be a bottleneck. This reduces MIC's reach and impact on the programming community. In this paper I propose to use GGT methodologies to solve MIC's bottleneck problem. The solution should place the MIC technology such that it can play a defining role in the next generation of high-level programming languages.
ISBN:0769520359
9780769520353
ISSN:1938-4300
DOI:10.1109/ASE.2003.1240339