allow for an evaluation of feasibility as well as quality of our proposals using common
measurements like precision, recall and F-measurement. Hereby it is worth to investi-
gate a benchmark for model matching consisting of a suite of sample data. A study of
criteria influencing the quality of matching results, which allows for reliable statements
regarding the matching quality, e.g. a complete automatic generation of transformations
is part of the future work as well. This also includes model transformation scenario clas-
sification for matcher configuration. Furthermore, it is worth to explore model matching
in other areas like trace development, model search and modelling proposal generation
as promising future work.
Acknowledgements
The work was funded by means of the German Federal Ministry of Economy and Tech-
nology under the promotional reference ”01MQ07012”. The author takes the responsi-
bility for the contents.
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