Supporting search for reusable software objects

Tomás Isakowitz

doi:10.1109/32.508314

1996-06-01

Tomás Isakowitz

Robert J. Kauffman

DOI：10.1109/32.508314

原文链接

原文求助

摘要

En 中文

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. We propose automated support tools, including ORCA, a software Object Reuse Classification Analyzer, and AMHYRST, an Automated HYpertext-based Reuse Search Tool, that are based on this model. 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.

Keyword:

classification

CASE

computer-aided software engineering

development environments

hypertext

object repositories

object search

repository evaluation

reuse

software development