Volume 5, Issue 1 (3-2017)                   SCJ 2017, 5(1): 36-65 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

beiranvand S, zare chahooki M A. A Review on Software Cost Estimation Based on Machine Learning. SCJ. 2017; 5 (1) :36-65
URL: http://scj.kashanu.ac.ir/article-1-221-en.html

1- MSC student yazd university , saba.beiranvand@stu.yazd.ac.ir
2- Assistant Professor yazd university
Abstract:   (673 Views)

Software project management software is the most important activity in software development, because it contains the whole software development process, from beginning to end. Software cost estimation is a challenge task in the software project management. It is an old activity in computer industry from 1940s and has been developed many times. Effort, only covers part of the cost of a software project. However, it is an essential factor for determining the cost. Therefore, in researches on software cost estimates, effort estimation and cost estimation are equivalent. A Software cost estimation model is appropriate if provides the accuracy and confidence simultaneously in cost prediction before software project contract. Due to the uncertain nature of cost estimates and in order to increase the accuracy, researchers recently have focused on machine learning techniques. In this paper, we investigated the software cost estimation by machine learning approaches, also, we introduced estimation methods, criterias to assess the accuracy of proposed methods, used datasets for evaluation, and future works in this research area.

Full-Text [PDF 1316 kb]   (409 Downloads)    
Type of Study: Research | Subject: Special
Received: 2015/02/13 | Accepted: 2016/06/20 | Published: 2017/03/5

Add your comments about this article : Your username or Email:
Write the security code in the box

Send email to the article author

© 2015 All Rights Reserved | Soft Computing Journal

Designed & Developed by : Yektaweb