Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4610
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dc.contributor.authorJosé Paiva Proençaen
dc.contributor.authorClarke,Den
dc.date.accessioned2017-12-21T11:37:22Z-
dc.date.available2017-12-21T11:37:22Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/4610-
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-45364-9_14en
dc.description.abstractThis paper studies complex coordination mechanisms based on constraint satisfaction. In particular, it focuses on data-sensitive connectors from the Reo coordination language. These connectors restrict how and where data can flow between loosely-coupled components taking into account the data being exchanged. Existing engines for Reo provide a very limited support for data-sensitive connectors, even though data constraints are captured by the original semantic models for Reo. When executing data-sensitive connectors, coordination constraints are not exhaustively solved at compile time but at runtime on a per-need basis, powered by an existing SMT (satisfiability modulo theories) solver. To deal with a wider range of data types and operations, we abstract data and reduce the original constraint satisfaction problem to a SAT problem, based on a variation of predicate abstraction. We show soundness and completeness of the abstraction mechanism for well-defined constraints, and validate our approach by evaluating the performance of a prototype implementation with different test cases, with and without abstraction. © Springer-Verlag Berlin Heidelberg 2013.en
dc.languageengen
dc.relation5901en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleData Abstraction in Coordination Constraintsen
dc.typeconferenceObjecten
dc.typePublicationen
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