Title
Comparing and classifying model transformation reuse approaches across metamodels
Abstract
Model transformations are essential elements of model-driven engineering (MDE) solutions, as they enable the automatic manipulation of models. MDE promotes the creation of domain-specific metamodels, but without proper reuse mechanisms, model transformations need to be developed from scratch for each new metamodel. In this paper, our goal is to understand whether transformation reuse across metamodels is needed by the community, evaluate its current state, identify practical needs and propose promising lines for further research. For this purpose, we first report on a survey to understand the reuse approaches used currently in practice and the needs of the community. Then, we propose a classification of reuse techniques based on a feature model and compare a sample of specific approaches—model types, concepts, a-posteriori typing, multilevel modeling, typing requirement models, facet-oriented modeling, mapping operators, constraint-based model types, and design patterns for model transformations—based on this feature model and a common example. We discuss strengths and weaknesses of each approach, provide a reading grid used to compare their features, compare with community needs, identify gaps in current transformation reuse approaches in relation to these needs and propose future research directions.
Year
DOI
Venue
2020
10.1007/s10270-019-00762-9
Software and Systems Modeling
Keywords
Field
DocType
Model transformation, Reuse, Survey, Classification, Feature model
Model transformation,Systems engineering,Reuse,Computer science
Journal
Volume
Issue
ISSN
19
2
1619-1366
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Jean-Michel Bruel143173.95
Benoît Combemale242346.61
Esther Guerra350445.53
Jean-Marc Jézéquel43050219.89
Jörg Kienzle573269.38
Juan de Lara61596132.28
Gunter Mussbacher770860.88
Eugene Syriani827129.66
Hans Vangheluwe91174114.42