Software Reusability In A Knowledge-Based Environment

John F. Gilmore; Hong Wing Pun; Frederick C. Hart

doi:10.1117/12.969294

21 March 1989 Software Reusability In A Knowledge-Based Environment

John F. Gilmore, Hong Wing Pun, Frederick C. Hart

Proceedings Volume 1095, Applications of Artificial Intelligence VII; (1989) https://doi.org/10.1117/12.969294
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

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.

Citation Download Citation

John F. Gilmore, Hong Wing Pun, and Frederick C. Hart "Software Reusability In A Knowledge-Based Environment", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969294

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