Paper Info
Title
Mapping-Aware Megamodeling: Design Patterns and Laws.
Abstract
Megamodeling is the activity of specifying systems of models and mappings, their properties, and operations over them. The latter functionality is the most important for applications, and megamodels are often used as an abstract workflow language for model processing. To be independent of a particular modeling language, typical megamodels reduce relationships between models to unstructured edges encoding nothing but a labeled pair of models, thus creating a significant gap between megamodels and code implementing them. To bridge the gap, we propose mapping-aware megamodels, which treat edges as model mappings: structured sets of links (pairs of model elements) rather than pairs of models. The workflow can then be represented as an algebraic term built from elementary operations with models and model mappings.
Year
DOI
Venue
2013
10.1007/978-3-319-02654-1_18
Lecture Notes in Computer Science
Field
DocType
Volume
Model transformation,Programming language,Algebraic number,Computer science,Modeling language,Software design pattern,Theoretical computer science,Graph rewriting,Workflow,Encoding (memory),Design pattern
Conference
8225
ISSN
Citations 
PageRank 
0302-9743
13
0.76
References 
Authors
33
3
Name
Order
Citations
PageRank
Zinovy Diskin161163.32
Sahar Kokaly2527.64
Tom Maibaum328131.90