Automated object-oriented reusable component identification |
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Authors: | Letha H Etzkorn Carl G Davis |
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Affiliation: | The University of Alabama in Huntsville, Huntsville, AL 35899, USA |
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Abstract: | An automated tool to assist in the understanding of legacy code can be useful both in the areas of software reuse and software maintenance. Most previous work in this area has concentrated on functionally-oriented code. Whereas object-oriented code has been shown to be inherently more reusable than functionally-oriented code, in many cases the eventual reuse of the object-oriented code was not considered during development. This paper describes an approach that makes preparing existing object-oriented code for reuse easier and more quantifiable. This problem includes two primary sub-problems: understanding the function of components, and applying an appropriate set of metrics to the components to quantify reusability.The research described in this paper addresses an approach to the automated understanding of object-oriented code. A knowledge-based system that implements the approach is described. This paper also briefly discusses the formulation of reusability metrics for object-oriented code. |
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Keywords: | Object-oriented legacy code Knowledge-based systems Natural language processing Program understanding Reverse engineering |
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