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Bidirectional Model Transformation with Precedence Triple Graph Grammars

Lauder, Marius and Anjorin, Anthony and Varró, Gergely and Schürr, Andy
Fachgebiet Echtzeitsysteme (Real-Time Systems Lab), TU Darmstadt (eds.) :

Bidirectional Model Transformation with Precedence Triple Graph Grammars.
Fachgebiet Echtzeitsysteme (Real-Time Systems Lab), TU Darmstadt (s.) tuprints, Darmstadt
[Report], (2012)

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Item Type: Report
Title: Bidirectional Model Transformation with Precedence Triple Graph Grammars
Language: English
Abstract:

Triple Graph Grammars (TGGs) are a rule-based technique with a formal background for specifying bidirectional model transformation. In practical scenarios, the unidirectional rules needed for the forward and backward transformations are automatically derived from the TGG rules in the specification, and the overall transformation process is governed by a control algorithm. Current implementations either have a worst case exponential runtime complexity or pose such strong restrictions on the class of supported TGGs that practical real-world applications become infeasible. This paper, therefore, introduces a new class of TGGs together with a control algorithm that drops a number of practice-relevant restrictions for TGG rules and still has a polynomial runtime complexity.

Place of Publication: Darmstadt
Publisher: tuprints
Uncontrolled Keywords: triple graph grammars, control algorithm of unidirectional transformations, node precedence analysis, rule dependency analysis
Alternative keywords:
Alternative keywordsLanguage
triple graph grammars, control algorithm of unidirectional transformations, node precedence analysis, rule dependency analysisEnglish
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: Fachbereich Elektrotechnik und Informationstechnik > Echtzeitsysteme
Date Deposited: 21 Mar 2012 14:21
Last Modified: 07 Dec 2012 12:04
Related URLs:
URN: urn:nbn:de:tuda-tuprints-29162
License: Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0
Identification Number: urn:nbn:de:tuda-tuprints-29162
URI: http://tuprints.ulb.tu-darmstadt.de/id/eprint/2916
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