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

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Moradbeiky Amin; Khatibi Bardsiri Amid

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY Year:2018 | Volume:4 | Issue:1 Page(s): 7-12

Download Full-Text

View:

197

Download:

135

Cites:

Information Journal Paper

Title

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

Author(s)

Moradbeiky Amin | Khatibi Bardsiri Amid | Issue Writer Certificate

Keywords

Development effort estimation

Nerual 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 neuralnetwork-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.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Moradbeiky, Amin, & Khatibi Bardsiri, Amid. (2018). A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 4(1), 7-12. SID. https://sid.ir/paper/346295/en

Vancouver: Copy

Moradbeiky Amin, Khatibi Bardsiri Amid. A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2018;4(1):7-12. Available from: https://sid.ir/paper/346295/en

IEEE: Copy

Amin Moradbeiky, and Amid Khatibi Bardsiri, “A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 4, no. 1, pp. 7–12, 2018, [Online]. Available: https://sid.ir/paper/346295/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops