An estimation of software reusability using fuzzy logic technique

Soft computing techniques play very important role in developing software engineering applications. These consist of fuzzy logic system, neural network model and genetic algorithm techniques. Among these, fuzzy logic and neural network techniques are broadly used to assess software reusability, software maintainability, software understandability etc. Software reuse is defined as software development with several existing modules. This paper presents a model based on different factors namely Modularity (MD), Interface Complexity (IC), Maintainability (MN), Flexibility (FX) and Adaptability (AD) for the assessment of software reusability using soft computing technique via fuzzy logic. This is done by assuming different membership functions such as Triangular, Trapezoidal and Gaussian membership functions defined in MATLAB for these parameters in order to predict the reusability. Our approach is depending on these software metrics for the identification and evaluation of reusable components. Software reusability is likely to have a bright future and a remarkable work for research. This effort will help developers and researcher to choose the finest component related to the reusability, which would help in improving the performance and efficiency of the whole software system.