Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/9453

Title: Towards constraint-informed information systems
Authors: Pimenta Rodrigues, Irene
Matos, Nuno
Pinto Abreu, Salvador
Deneckere, Rebecca
Diaz, Daniel
Editors: Cavarero, Jean-Louis
Rolland, Colette
Wieringa, Roel
Nurcan, Selmin
Keywords: Data base
Constraint
Issue Date: May-2013
Publisher: IEEE
Citation: Irene Pimenta Rodrigues, Nuno Matos, Salvador Abreu, Rébecca Deneckère, Daniel Diaz: Towards constraint-informed information systems. 2013 IEEE Seventh International Conference on Research Challenges in Information Science (RCIS)
Abstract: Declarative techniques such as Constraint Programming are very useful in modeling complex requirements. They have the added benefit of being executable specifications and, when properly tuned, high-performance ones. In this paper we argue that Information Systems ought to include constraint-based techniques in their design and implementation. We support this claim by introducing tools based on constraint programming, which we apply to an actual use-case: the academic timetable construction and maintenance problem, as developed at the University of Evora. The system we built was implemented using the GNU Prolog language. Moreover, Constraints have the potential to describe global properties that a model must observe, which makes them a semantically very interesting extension to the capabilities of present model-driven techniques and tools.
URI: http://hdl.handle.net/10174/9453
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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