Paper Info
Title
A dedicated language for context composition and execution of true black-box model transformations
Abstract
Model-Driven Engineering (MDE) automates development activities by employing model transformations. Thereby, a plethora of model transformation approaches with individual capabilities have been developed. In certain cases, complex and automated MDE activities require the interaction of various, potentially heterogeneous, model transformations. This can be achieved by a loosely coupled and highly cohesive composition of model transformations implemented in different model transformation languages. However, existing approaches either do not support context composition, using other model transformations as additional context, or they violate the important black-box principle because they require adapting model transformations for context composition. In this paper, we present a dedicated model transformation composition framework (MoTCoF) that does not require the adaptation of model transformations and, thus, treats model transformations as true black-boxes. We illustrate our approach with an application example taken from an industrial case study.
Year
DOI
Venue
2011
10.1007/978-3-642-28830-2_2
SLE
Keywords
Field
DocType
cohesive composition,different model transformation language,model transformation,dedicated language,model transformation approach,additional context,true black-box model transformation,dedicated model transformation composition,model-driven engineering,automated mde activity,context composition,application example,model driven engineering,composition,traceability
Model transformation,Programming language,Model-driven architecture,Computer science,Black box,Traceability
Conference
Volume
Citations 
PageRank 
6940
3
0.46
References 
Authors
9
4
Name
Order
Citations
PageRank
Andreas Seibel11098.25
Regina Hebig217924.24
Stefan Neumann31278.92
Holger Giese42345164.90