A Linear Regression Approach to Modeling Software Characteristics for Classifying Similar Software
Hyun-il Lim · 2019
Linear regression is one approach among various machine learning methods that are applied to solve problems by constructing a model from training with previously known data. Machine learning can be applied to various areas, especially on complex problems which have no clear computational rule or solution for the problems. In this paper, we present a linear regression approach to solve in area of software analysis for identifying similar software. In the experimental results, we show the evaluation results of applying linear regression on classification of similar software.