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Negotiated grammar transformation

Authors: Zaytsev, Vadim;

Negotiated grammar transformation

Abstract

In this paper, we study controlled adaptability of metamodel transformations. We consider one of the most rigid metamodel transformation formalisms -- automated grammar transformation with operator suites, where a transformation script is built in such a way that it is essentially meant to be applicable only to one designated input grammar fragment. We propose a different model of processing unidirectional programmable grammar transformation commands, that makes them more adaptable. In the proposed method, the making of a decision of letting the transformation command fail (and thus halt the subsequent transformation steps) is taken away from the transformation engine and can be delegated to the transformation script (by specifying variability limits explicitly), to the grammar engineer (by making the transformation process interactive), or to another separate component that systematically implements the desired level of adaptability. The paper lists and explains two kinds of different adaptability of transformation (through tolerance and through adjustment) and contains examples of possible usage of this negotiated grammar transformation process.

Country
France
Keywords

tolerance, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], extreme modelling, grammar transformation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average