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A Dataset-Independent Model for Estimating Software Development Effort Using Soft Computing Techniques Cover

A Dataset-Independent Model for Estimating Software Development Effort Using Soft Computing Techniques

Applied Computer Systems
Volume 24 (2019): Issue 2 (December 2019)
By: Mahdi Khazaiepoor,  Amid Khatibi Bardsiri and  Farshid Keynia  
Open Access
|Feb 2020

Authors

Mahdi Khazaiepoor

mkhazaiepoor@gmail.com

Computer Engineering Department, Kerman Branch, Islamic Azad University, Kerman

Amid Khatibi Bardsiri

a.khatibi@srbiau.ac.ir

Computer Engineering Department, Bardsir Branch, Islamic Azad University, Bardsir

Farshid Keynia

fkeynia@gmail.com

Department of Energy Management and Optimization, Graduate University of Advanced Technology, Kerman
DOI: https://doi.org/10.2478/acss-2019-0011 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 82 - 93
Published on: Feb 20, 2020
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Clustering,
estimation,
feature selection,
genetic algorithm,
imperialist competitive algorithm,
neural network,
regression,
software development effort
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2020 Mahdi Khazaiepoor, Amid Khatibi Bardsiri, Farshid Keynia, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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