Reference : Solving the FIXML2Code-case Study with HenshinTGG

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/19894

Title :	Solving the FIXML2Code-case Study with HenshinTGG
Language :	English
Author, co-author :	Hermann, Frank [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Nachtigall, Nico [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Braatz, Benjamin [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Gottmann, Susann [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2014
Main document title :	Proceedings of the 7th Transformation Tool Contest - part of the Software Technologies: Applications and Foundations (STAF 2014) federation of conferences
Editor :	Rose, Louis M.
	Krause, Christian
	Horn, Tassilo
Publisher :	CEUR-WS.org
Collection and collection volume :	CEUR Workshop Proceedings, Vol-1305
Pages :	32-46
Peer reviewed :	Yes
Audience :	International
Event name :	7th Transformation Tool Contest 2013 (TTC'13)
Event date :	25-07-2014
Event organizer :	Louis M. Rose, Christian Krause, Tassilo Horn
Event place (city) :	York
Event country :	United Kingdom
Abstract :	[en] Triple graph grammars (TGGs) provide a formal framework for bidirectional model transformations. As in practice, TGGs are primarily used in pure model-to-model transformation scenarios, tools for text-to-model and model-to-text transformations make them also applicable in text-to-text transformation contexts. This paper presents a solution for the text-to-text transformation case study of the Transformation Tool Contest 2014 on translating FIXML (an XML notation for financial transactions) to source code written in Java, C# or C++. The solution uses the HenshinTGG tool for specifying and executing model-to-model transformations based on the formal concept of TGGs as well as the Xtext tool for parsing XML content to yield its abstract syntax tree (text-to-model transformation) and serialising abstract syntax trees to source code (model-to-text transformation). The approach is evaluated concerning a given set of criteria.
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/19894
Other URL :	http://ceur-ws.org/Vol-1305/

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