Estimating Java Classes Reusability Using Data Clustering and Static Metrics Analysis

Abstract

To reuse or not to reuse, that is the question! There is a constant demand in the software development market for new methodologies and practices that would help to lessen the pressure from the software development projects. Software reuse is one practice that helped increase software development productivity and improve the software quality attributes. However, until this day, there is no silver bullet solution that could predict software reuse experience nor estimate software component’s reusability. This work proposes a reusability estimation model. The model analyzes the static metric of java classes using data clustering and regression to estimate its reusability. The evaluation results of the proposed model have successfully evaluated java classes reusability with considerably low error rates.