Ranking and Clustering of Software Cost Estimation Models

In current scenario, software industries have various software cost estimation models to estimate the financial need and to Develop software. The result of these models mainly requires obtaining approval to proceed and factored into business plans, budgets, financial planning and tracking mechanisms. Many of these models are providing irrelevant output thereby leading the organization in confusion. So its necessary to choose a perfect cost estimation model which becomes the higher priority for the companies. With our research to rank the cost estimation models, proposed system uses previous performance data sets as the evidence. This System uses correlation similarity and preference model to identify the rank of the model and thereby cluster the cost estimation models. In our proposed model we have taken many parameters to perform ranking and clustering. We are targeting to demonstrate abilities of software cost estimation method and clustering them based on their features. It helps us to rank together for further usage of software.