A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort

Authors

  • Amin Moradbeiky Islamic Azad University, Kerman Branch, Kerman, Iran
  • Amid Khatibi Bardsiri Islamic Azad University, Kerman Branch, Kerman, Iran

Keywords:

Development Effort Estimation, Neural Networks, Particle Swarm Optimization, Software Project,

Abstract

Software project management has always faced challenges that have often had a great impact on the outcome of projects in future. For this, Managers of software projects always seek solutions against challenges. The implementation of unguaranteed approaches or mere personal experiences by managers does not necessarily suffice for solving the problems. Therefore, the management area of software projects requires tools and means helping software project managers confront with challenges. The estimation of effort required for software development is among such important challenges. In this study, a neural-network-based architecture has been proposed that makes use of PSO algorithm to increase its accuracy in estimating software development effort. The architecture suggested here has been tested by several datasets. Furthermore, similar experiments were done on the datasets using various widely used methods in estimating software development. The results showed the accuracy of the proposed model. The results of this research have applications for researchers of software engineering and data mining.

Downloads

Published

2017-12-30

How to Cite

Moradbeiky, A., & Bardsiri, A. K. (2017). A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(4), 13–17. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1590

Issue

Vol. 9 No. 4: October - December 2017

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.