In Model-Driven Engineering, the potential advantages of using bidirectional transformations in various scenarios are largely recognized; as for instance, assuring the overall consistency of a set of interrelated models which requires the capability of propagating changes back and forth the transformation chain. Among the existing approaches, JTL (Janus Transformation Language) is a constraint-based bidirectional transformation language specifically tailored to support change propagation and nondeterministic transformations. In fact, its relational and constraintbased semantics allows to restore consistency by returning all admissible models. This paper introduces the new implementation of the language and presents the tools and its features by means of a running example.
Enhancing the JTL tool for bidirectional transformations
Eramo R.;
2018-01-01
Abstract
In Model-Driven Engineering, the potential advantages of using bidirectional transformations in various scenarios are largely recognized; as for instance, assuring the overall consistency of a set of interrelated models which requires the capability of propagating changes back and forth the transformation chain. Among the existing approaches, JTL (Janus Transformation Language) is a constraint-based bidirectional transformation language specifically tailored to support change propagation and nondeterministic transformations. In fact, its relational and constraintbased semantics allows to restore consistency by returning all admissible models. This paper introduces the new implementation of the language and presents the tools and its features by means of a running example.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
