REUSE SYSTEM - AN ARTIFICIAL INTELLIGENCE-BASED APPROACH

The concept of software reusability is examined from the perspective of classifying and accessing reusable software. To improve the practicality of software reuse, one must know its location and have an understanding of the reusable components and its adaptability to a particular need. The current state-of-the-art methods are assessed, and a new system for performing classification-based reuse is proposed. The concepts of subsumption and closeness are used to model function composition and function modification in software construction. These concepts and their associated metrics are used by the proposed reuse system to facilitate searching for reusable components and provide capabilities for helping programmers assess the worth of reusing particular packages. A description of the major algorithms required to compute these metrics is given. A sample user/system interaction that illustrates how these components and metrics are used to retrieve reusable components is presented. Also, domain analysis, which; helps in deciding whether a particular application is oriented towards software reuse, is given.