
doi: 10.3233/fi-2011-618
handle: 10486/662784
QVT is the standard for model transformation defined by the OMG in the context of the Model-Driven Architecture. It is made of several transformation languages. Among them, QVT-Relations is the one with the highest level of abstraction, as it permits developing bidirectional transformations in a declarative, relational style. Unfortunately, the standard only provides a semiformal description of its semantics, which hinders analysis and has given rise to ambiguities in existing tool implementations. In order to improve this situation, we propose a formal, algebraic semantics for QVT-Relations check-only transformations, defining a notion of satisfaction of QVT-Relations specifications by models.
Informática, category theory, QVT-Relations, Model Transformation, Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.), model-driven engineering, Semantics in the theory of computing, model transformation, Category Theory, Model-Driven Engineering, QVT-relations
Informática, category theory, QVT-Relations, Model Transformation, Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.), model-driven engineering, Semantics in the theory of computing, model transformation, Category Theory, Model-Driven Engineering, QVT-relations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
