We propose automated support for developers who search large repositories for the appropriate reusable software objects. We characterize search for repository objects in terms of a multistage model involving screening, identification, and the subsequent choice between new object construction or reusable object implementation. ORCA utilizes a faceted classification approach that can be implemented using hypertext. We also describe an aspect of AMHYRST's architecture which can automatically create hypertext networks that represent and link objects in terms of a number of distinguishing features.
We illustrate our approach with an example drawn from a real world object repository. Numerical Analysis and Scientific Computing Commons. Advanced Search. Privacy Copyright. Skip to main content. Title Supporting search for reusable software objects. Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions.
Supporting search for reusable software objects Abstract: Prior research has shown that achieving high levels of software reuse in the presence of repository and object-based computer-aided software engineering CASE development methods presents interesting human, managerial and technical challenges. This article presents research that seeks to enhanced software development performance through reuse.
We propose automated support for developers who search large repositories for the appropriate reusable software objects. We characterize search for repository objects in terms of a multistage model involving screening, identification, and the subsequent choice between new object construction or reusable object implementation.
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