Abstract
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.
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Sasano, I., Hu, Z., Hidaka, S., Inaba, K., Kato, H., Nakano, K. (2011). Toward Bidirectionalization of ATL with GRoundTram. In: Cabot, J., Visser, E. (eds) Theory and Practice of Model Transformations. ICMT 2011. Lecture Notes in Computer Science, vol 6707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21732-6_10
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