Title
Surveying the Corpus of Model Resolution Strategies for Metamodel Evolution
Abstract
Modeling languages evolve regularly. Companies need to maintain all those models that are used in running projects, which can cause these projects to fall back in their schedules. Since 10 years research addresses this issue with approaches for automating co-evolution. The dominant core of these approaches are model resolution strategies. They define 1) how models have to be changed in reaction to specific metamodel changes, 2) what degree of automation can be reached, and 3) to what extent the user can control the resolution outcome. In this paper, we survey existing co-evolution approaches and analyze model resolution strategies. We present a corpus of more than 200 resolution strategies for 116 types of metamodel changes and discuss degree of automation and choices that users have today.
Year
DOI
Venue
2015
10.1109/APSEC.2015.40
2015 Asia-Pacific Software Engineering Conference (APSEC)
Keywords
Field
DocType
survey,model resolution,metamodel evolution
Systems engineering,Unified Modeling Language,Computer science,Modeling language,Automation,Schedule,Software,Model resolution,Software maintenance,Metamodeling
Conference
ISSN
Citations 
PageRank 
1530-1362
4
0.39
References 
Authors
21
3
Name
Order
Citations
PageRank
Regina Hebig117924.24
djamel eddine khelladi2655.17
Reda Bendraou333426.70