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Talents: Dynamically Composable Units of Reuse

Publikationsart Peer-reviewed
Publikationsform Tagungsbeitrag (peer-reviewed)
Publikationsdatum 2011
Autor/in Ressia Jorge, Girba Tudor, Nierstrasz Oscar, Perin Fabrizio, Renggli Lukas,
Projekt Synchronizing Models and Code
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Tagungsbeitrag (peer-reviewed)

Titel der Proceedings International Workshop on Smalltalk Technologies (IWST 2011)

Abstract

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 underline 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 composition. We introduce a new abstraction called a talent which 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 which is dynamic.
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