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Talents: an environment for dynamically composing units of reuse

Publikationsart Peer-reviewed
Publikationsform Originalbeitrag (peer-reviewed)
Publikationsdatum 2012
Autor/in Ressia Jorge, Girba Tudor, Nierstrasz Oscar, Perin Fabrizio, Renggli Lukas,
Projekt Synchronizing Models and Code
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Originalbeitrag (peer-reviewed)

Zeitschrift Software: Practice and Experience
Seite(n) 1
Titel der Proceedings Software: Practice and Experience
DOI 10.1002/spe.2160


Reuse in object-oriented languages typically focuses on inheritance. Numerous techniques have been developed to provide finer-grained reuse of methods, such as flavors, mixins, and traits. These techniques, however, only deal with reuse at the level of classes. Class-based reuse is inherently static. Increasing use of reflection and meta- programming techniques in real-world applications underlines the need for more dynamic approaches. New approaches have shifted to object-specific reuse. However, these techniques fail to provide a complete solution to the composition issues arising during reuse. We propose a new approach that deals with reuse at the object level and that supports behavioral and state composition. We introduce a new abstraction called a talent that models features that are shared between objects of different class hierarchies. Talents provide a composition mechanism that is as flexible as that of traits but that is dynamic.