Paper Info
Title
Graph Rewriting And Transformation (GReAT): A Solution For The Model Integrated Computing (MIC) Bottleneck
Abstract
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.
Year
DOI
Venue
2003
10.1109/ASE.2003.1240339
ASE
Keywords
Field
DocType
high level languages,graph rewriting,programming language,software engineering
Rule-based machine translation,Bottleneck,Computer science,Implementation,Theoretical computer science,Exploit,High-level programming language,Graph rewriting,Integrated software,Formal concept analysis
Conference
ISBN
Citations 
PageRank 
978-0-7695-2035-3
22
1.27
References 
Authors
7
1
Name
Order
Citations
PageRank
Aditya Agrawal154634.80