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Case-based exploration of bidirectional transformations in QVT Relations.

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Title: Case-based exploration of bidirectional transformations in QVT Relations.
Authors: Westfechtel, Bernhard1 bernhard.westfechtel@uni-bayreuth.de
Source: Software & Systems Modeling. Jul2018, Vol. 17 Issue 3, p989-1029. 41p.
Subjects: Object Management Group Inc., Programming languages, Computer programmers, Computer software, Computer systems
Abstract: QVT Relations (QVT-R), a standard issued by the Object Management Group, is a language for the declarative specification of model transformations. This paper focuses on a particularly interesting feature of QVT-R: the declarative specification of bidirectional transformations. Rather than writing two unidirectional transformations separately, a transformation developer may provide a single relational specification which may be executed in both directions. This approach saves specification effort and ensures the consistency of forward and backward transformations. This paper explores QVT-R’s support for bidirectional model transformations through a spectrum of transformation cases. The transformation cases vary with respect to several factors such as the size of the transformation definition or the relationships between the metamodels for source and target models. The cases are solved in QVT-R, but may be applied to other bidirectional transformation languages, as well; thus, they may be used as a benchmark for comparing bidirectional transformation languages. In our work, we focus on the following research questions: functionality of bidirectional transformations in terms of relations between source and target models, solvability (which problems may be solved by a single relational specification of a bidirectional transformation), variability (does a bidirectional transformation contain varying elements, i.e., elements being specific to one direction), comprehensibility (referring to the ease of understanding and constructing QVT-R transformations), and the semantic soundness of bidirectional transformations written in QVT-R. [ABSTRACT FROM AUTHOR]
Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: QVT Relations (QVT-R), a standard issued by the Object Management Group, is a language for the declarative specification of model transformations. This paper focuses on a particularly interesting feature of QVT-R: the declarative specification of bidirectional transformations. Rather than writing two unidirectional transformations separately, a transformation developer may provide a single relational specification which may be executed in both directions. This approach saves specification effort and ensures the consistency of forward and backward transformations. This paper explores QVT-R’s support for bidirectional model transformations through a spectrum of transformation cases. The transformation cases vary with respect to several factors such as the size of the transformation definition or the relationships between the metamodels for source and target models. The cases are solved in QVT-R, but may be applied to other bidirectional transformation languages, as well; thus, they may be used as a benchmark for comparing bidirectional transformation languages. In our work, we focus on the following research questions: functionality of bidirectional transformations in terms of relations between source and target models, solvability (which problems may be solved by a single relational specification of a bidirectional transformation), variability (does a bidirectional transformation contain varying elements, i.e., elements being specific to one direction), comprehensibility (referring to the ease of understanding and constructing QVT-R transformations), and the semantic soundness of bidirectional transformations written in QVT-R. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Software & Systems Modeling is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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