Predicting the Accuracy of Machine Learning Algorithms for Software Cost Estimation

Abstract

Today, the software cost estimation becomes rising region among many significant issues looked by programming improvement and programming industry. It is a necessary issue to foresee correct cost estimation keeping in the mind that the ultimate objective is to coordinate well spending arrangement. Usually, data mining is a mechanism towards analyzing information from exchange perspectives and compacting it into important information. Data can be utilized to grow pay, cut expenses or both. It empowers customers to separate information from several estimations or edges, characterize it and pack the associations recognized. This paper introduces a novel idea of building a model using ML algorithms into the existing software cost estimation models and simulated to predict the cost estimation parameters. The obtained model would be predicted the cost, effort, and schedule.