Toward bidirectionalization of ATL with GRoundTram

Isao Sasano, Zhenjiang Hu, Soichiro Hidaka, Kazuhiro Inaba, Hiroyuki Kato, Keisuke Nakano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)


ATL is a language for describing model transformations currently in uni-direction. In our previous work we have shown that transformations of graph structures given in some form can be bidirectionalized and have implemented a system called GRoundTram system for bidirectional graph transformations. We say a transformation t is bidirectionalized when we obtain a backward transformation t′ so that the pair (t,t′) of transformations satisfies certain well-behavedness properties. Bidirectional model transformation is used to reflect the changes in the target model back to the source model, and vice versa. In this paper, as a first step toward realizing practical bidirectional model transformations, we present bidirectionalization of core part of the ATL by encoding it in the UnQL language, which is used as a transformation language in the GRoundTram system. We give the algorithm for the encoding, based on which we have implemented the system for bidirectionalizing the core ATL in OCaml language.

Original languageEnglish
Title of host publicationTheory and Practice of Model Transformations - 4th International Conference, ICMT 2011, Proceedings
Number of pages14
Publication statusPublished - 2011
Event4th International Conference on Theory and Practice of Model Transformations, ICMT 2011 - Zurich, Switzerland
Duration: 2011 Jun 272011 Jun 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6707 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Theory and Practice of Model Transformations, ICMT 2011


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