by Andreas Demuth, Markus Riedl-Ehrenleitner, Roberto E. Lopez-Herrejon, Alexander Egyed
Abstract:
Model transformation is a key technology in modeldriven engineering. Unfortunately, transformations are typically written manually and thus they are likely to contain errors and to produce incorrect or undesired output. Safe transformation is the guarantee that for every possible source model, the transformed target model is valid with respect to user-definable wellformedness criteria. This paper introduces safe transformation for constraint-driven modeling (CDM), an approach that employs model transformation to generate target model constraints instead of generating a target model directly. Safe transformation for CDM ensures that transformations only produce correct and non-contradictory constraints. We demonstrate the feasibility of safe transformation and present a formal framework for applying it to CDM in arbitrary domains.
Reference:
Towards Safe Model Transformation for Constraint-driven Modeling (Andreas Demuth, Markus Riedl-Ehrenleitner, Roberto E. Lopez-Herrejon, Alexander Egyed), In Proceedings of the 8th International Conference on Model Driven Engineering Languages and Systems, (MoDeVVa@MoDELS 2015), Ottawa, Canada, 2015.
Bibtex Entry:
@Conference{DBLP:conf/models/DemuthRLE15,
author = {Andreas Demuth and Markus Riedl-Ehrenleitner and Roberto E. Lopez-Herrejon and Alexander Egyed},
title = {Towards Safe Model Transformation for Constraint-driven Modeling},
booktitle = {Proceedings of the 8th International Conference on Model Driven Engineering Languages and Systems, (MoDeVVa@MoDELS 2015), Ottawa, Canada},
year = {2015},
pages = {11--17},
abstract = {Model transformation is a key technology in modeldriven engineering.
Unfortunately, transformations are typically written manually and
thus they are likely to contain errors and to produce incorrect or
undesired output. Safe transformation is the guarantee that for every
possible source model, the transformed target model is valid with
respect to user-definable wellformedness criteria. This paper introduces
safe transformation for constraint-driven modeling (CDM), an approach
that employs model transformation to generate target model constraints
instead of generating a target model directly. Safe transformation
for CDM ensures that transformations only produce correct and non-contradictory
constraints. We demonstrate the feasibility of safe transformation
and present a formal framework for applying it to CDM in arbitrary
domains.},
bibsource = {dblp computer science bibliography, http://dblp.org},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/models/DemuthRLE15},
crossref = {DBLP:conf/models/2015modevva},
file = {:Conferences\\MODELS 2015 - Towards Safe Model Transformation for Constraing-driven Modeling\\Towards Saft Model Transformation fo Constraing-driven Modeling-preprint.pdf:PDF},
keywords = {FWF P25513},
timestamp = {Mon, 30 May 2016 16:28:38 +0200},
url = {http://ceur-ws.org/Vol-1514/paper2.pdf},
}