Statistical Approach for Predicting Factors of Mood Method for Object Oriented
📝 Original Info
- Title: Statistical Approach for Predicting Factors of Mood Method for Object Oriented
- ArXiv ID: 1302.5454
- Date: 2013-02-25
- Authors: Researchers from original ArXiv paper
📝 Abstract
Object oriented design is becoming more popular in software development and object oriented design metrics which is an essential part of software environment. The main goal in this paper is to predict factors of MOOD method for OO using a statistical approach. Therefore, linear regression model is used to find the relationship between factors of MOOD method and their influences on OO software measurements. Fortunately, through this process a prediction could be made for the line of code (LOC), number of classes (NOC), number of methods (NOM), and number of attributes (NOA). These measurements permit designers to access the software early in process, making changes that will reduce complexity and improve the continuing capability of the design.💡 Deep Analysis
Deep Dive into Statistical Approach for Predicting Factors of Mood Method for Object Oriented.Object oriented design is becoming more popular in software development and object oriented design metrics which is an essential part of software environment. The main goal in this paper is to predict factors of MOOD method for OO using a statistical approach. Therefore, linear regression model is used to find the relationship between factors of MOOD method and their influences on OO software measurements. Fortunately, through this process a prediction could be made for the line of code (LOC), number of classes (NOC), number of methods (NOM), and number of attributes (NOA). These measurements permit designers to access the software early in process, making changes that will reduce complexity and improve the continuing capability of the design.