Managing Uncertainty in Bidirectional Model Transformations
In Model-Driven Engineering bidirectionality in transformations is regarded as a key mechanism. Recent approaches to non-deterministic transformations have been proposed for dealing with non-bijectivity. Among them, the JTL language is based on a relational model transformation engine which restores consistency by returning all admissible models. This can be regarded as an uncertainty reducing process: the unknown uncertainty at design-time is translated into known uncertainty at run-time by generating multiple choices. Unfortunately, little changes in a model usually correspond to a combinatorial explosion of the solution space. In this paper, we propose to represent the multiple solutions in a intensional manner by adopting a model for uncertainty. The technique is applied to JTL demonstrating the advantages of the proposal.
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Romina EramoUniversity of L'Aquila, Italy, Alfonso PierantonioUniversity of L'Aquila, Italy, Gianni RosaUniversity of L'Aquila, ItalyDOI
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