case sensitive

Sort by: Display: Hide controls:

  1. Jorge Ressia, Tudor Gîrba, Oscar Nierstrasz, Fabrizio Perin, and Lukas Renggli. Talents: an environment for dynamically composing units of reuse. In Software: Practice and Experience p. n/a—n/a, 2012. DOI PDF 

    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.