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Article type: Research Article
Authors: Bachelet, Bruno; ; | Mahul, Antoine | Yon, Loïc;
Affiliations: Clermont Université, Université Blaise Pascal, LIMOS, BP 10448, F-63000 Clermont-Ferrand, France | CNRS, UMR 6158, LIMOS, F-63171 Aubière, France | Clermont Université, Université Blaise Pascal, CRRI, F-63000 Clermont-Ferrand, France
Note: [] Corresponding author. Tel.: +33473405044; bruno.bachelet@univ-bpclermont.fr
Abstract: In generic programming, software components are parameterized on types. When available, a static specialization mechanism allows selecting, for a given set of parameters, a more suitable version of a generic component than its primary version. The normal C++ template specialization mechanism is based on the type pattern of the parameters, which is not always the best way to guide the specialization process: type patterns are missing some information on types that could be relevant to define specializations. The notion of a concept, which represents a set of requirements (including syntactic and semantic aspects) for a type, is known to be an interesting approach to control template specialization. For many reasons, concepts were dropped from C++11 standard, this article therefore describes template metaprogramming techniques for declaring concepts, modeling relationships (meaning that a type fulfills the requirements of a concept), and refinement relationships (meaning that a concept refines the requirements of another concept). From a taxonomy of concepts and template specializations based on concepts, an automatic mechanism selects the most appropriate version of a generic component for a given instantiation. Our purely library-based solution is also open for retroactive extension: new concepts, relationships, and template specializations can be defined at any time; such additions will then be picked up by the specialization mechanism.
Keywords: Generic programming, template specialization, concept-based overloading/specialization, template metaprogramming
DOI: 10.3233/SPR-130362
Journal: Scientific Programming, vol. 21, no. 1-2, pp. 43-61, 2013
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