Performance Evaluation of Reusable Software Components

For the enhancement of quality in the software development, to eliminate the repeated work and to improve the efficiency, we require a effective solution that is software reuse. But how to identify and evaluate the performance of reusable software from the existing systems has remained the task for developers. Defining metrics to reusable components has given the structural analysis to the different procedures. Neural Network gives the oppurtutinity to evaluate the attributes of reusability and work as the automatic tool to define reusability of procedures by calculation based on training. Metrics’s values turn as input dataset for the Neural Network systems. Different algorithms have been experimented and results are recorded in terms of Accuracy, Mean Absolute Error (MEA) and Root Mean Square Error (RMSE). In this paper, the proposed model defined in the future scope can become a effective and efficient way to state the reusability of software components. Keywords— Software Reusability, Software Metric, Neural Network, Accuracy, MAE, RMSE.