An essential part of software engineering is the use of soft computing techniques. The fuzzy logic system, the neural network model, and the genetic algorithm all fall under this category. Fuzzy logic and neural network techniques are commonly used in assessments of software attributes such as reusability, maintainability, and understandability. The term “software reuse” refers to the method of developing new programmes by reusing existing building blocks. These are evaluated with the help of soft computing techniques like neural networks and fuzzy logic. There are a number of membership functions used in MATLAB, which include the Triangular (trimf), Trapezoidal (trapmf), and Gaussian (guassmf) functions. It is possible to predict software reusability by utilizing the membership function even above. These software criteria are the foundation around which the approach is built for the purpose of locating and assessing reusable components. The reusability of software is positioned to have a prosperous future and is now a noteworthy area of research. Because of this endeavor, software developers and researchers will be able to select the most optimal component in terms of its reusability. This, in turn, will contribute to the overall improvement of the software system's performance and efficiency.