Feature-Based Classification of Bidirectional Transformation Approaches - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Software and Systems Modeling Year : 2016

Feature-Based Classification of Bidirectional Transformation Approaches

Abstract

Bidirectional model transformation is a key technology in model-driven engineering (MDE), when two models that can change over time have to be kept constantly consistent with each other. While several model transformation tools include at least a partial support to bidirectionality, it is not clear how these bidirectional capabilities relate to each other and to similar classical problems in computer science, from the view update problem in databases to bidirectional graph transformations. This paper tries to clarify and visualize the space of design choices for bidirectional transformations from an MDE point of view, in the form of a feature model. The selected list of existing approaches are characterized by mapping them to the feature model. Then, the feature model is used to highlight some unexplored research lines in bidirectional transformations.
Fichier principal
Vignette du fichier
bidirectionality.pdf (674.8 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01257169 , version 1 (15-01-2016)

Identifiers

Cite

Soichiro Hidaka, Massimo Tisi, Jordi Cabot, Zhenjiang Hu. Feature-Based Classification of Bidirectional Transformation Approaches. Software and Systems Modeling, 2016, 15, pp.907-928. ⟨10.1007/s10270-014-0450-0⟩. ⟨hal-01257169⟩
282 View
824 Download

Altmetric

Share

More