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Proceedings Paper

Software Reusability In A Knowledge-Based Environment
Author(s): John F. Gilmore; Hong Wing Pun; Frederick C. Hart
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Paper Abstract

Large software projects contain a wealth of tested code. By extracting and reusing portions of code from these projects, programmer productivity can be greatly increased. Software reusability relieves the programmer from rewriting existing code. Thus, a greater amount of time can be spent in more innovative tasks in the software life cycle. This paper presents the preliminary results of a knowledge-based software reusability (SR) system in an image processing application. Key issues in software reusability are addressed and the implementation of a vision based system is discussed. The results show that challenges do exist in measuring the closeness of algorithms to user specifications. However, the key factor in determining the effectiveness of software reusability is the time saved.

Paper Details

Date Published: 21 March 1989
PDF: 10 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969294
Show Author Affiliations
John F. Gilmore, Georgia Tech Research Institute (United States)
Hong Wing Pun, Georgia Tech Research Institute (United States)
Frederick C. Hart, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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