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LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model

One of the most important and critical factors in software projects is the proper cost estimation. This activity, which has to be done prior to the beginning of a project in the initial stage, always encounters several challenges and problems. However, due to the high significance and impact of the...

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Main Authors: Dashti, Maedeh, Gandoman, Taghi Javdani, Adeh, Dariush Hasanpoor, Zulzalil, Hazura, Md Sultan, Abu Bakar
Format: Article
Published: PeerJ 2021
Online Access:http://psasir.upm.edu.my/id/eprint/94023/
https://peerj.com/articles/cs-800/
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spelling my.upm.eprints.940232023-04-12T04:30:47Z http://psasir.upm.edu.my/id/eprint/94023/ LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model Dashti, Maedeh Gandoman, Taghi Javdani Adeh, Dariush Hasanpoor Zulzalil, Hazura Md Sultan, Abu Bakar One of the most important and critical factors in software projects is the proper cost estimation. This activity, which has to be done prior to the beginning of a project in the initial stage, always encounters several challenges and problems. However, due to the high significance and impact of the proper cost estimation, several approaches and methods have been proposed regarding how to perform cost estimation, in which the analogy-based approach is one of the most popular ones. In recent years, many attempts have been made to employ suitable techniques and methods in this approach in order to improve estimation accuracy. However, achieving improved estimation accuracy in these techniques is still an appropriate research topic. To improve software development cost estimation, the current study has investigated the effect of the LEM algorithm on optimization of features weighting and proposed a new method as well. In this research, the effectiveness of this algorithm has been examined on two datasets, Desharnais and Maxwell. Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. Employing the proposed method showed considerable improvement in estimating software cost estimation. PeerJ 2021-01-03 Article PeerReviewed Dashti, Maedeh and Gandoman, Taghi Javdani and Adeh, Dariush Hasanpoor and Zulzalil, Hazura and Md Sultan, Abu Bakar (2021) LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model. PeerJ Computer Science. pp. 1-24. ISSN 2376-5992 https://peerj.com/articles/cs-800/ 10.7717/peerj-cs.800
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description One of the most important and critical factors in software projects is the proper cost estimation. This activity, which has to be done prior to the beginning of a project in the initial stage, always encounters several challenges and problems. However, due to the high significance and impact of the proper cost estimation, several approaches and methods have been proposed regarding how to perform cost estimation, in which the analogy-based approach is one of the most popular ones. In recent years, many attempts have been made to employ suitable techniques and methods in this approach in order to improve estimation accuracy. However, achieving improved estimation accuracy in these techniques is still an appropriate research topic. To improve software development cost estimation, the current study has investigated the effect of the LEM algorithm on optimization of features weighting and proposed a new method as well. In this research, the effectiveness of this algorithm has been examined on two datasets, Desharnais and Maxwell. Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. Employing the proposed method showed considerable improvement in estimating software cost estimation.
format Article
author Dashti, Maedeh
Gandoman, Taghi Javdani
Adeh, Dariush Hasanpoor
Zulzalil, Hazura
Md Sultan, Abu Bakar
spellingShingle Dashti, Maedeh
Gandoman, Taghi Javdani
Adeh, Dariush Hasanpoor
Zulzalil, Hazura
Md Sultan, Abu Bakar
LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
author_facet Dashti, Maedeh
Gandoman, Taghi Javdani
Adeh, Dariush Hasanpoor
Zulzalil, Hazura
Md Sultan, Abu Bakar
author_sort Dashti, Maedeh
title LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
title_short LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
title_full LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
title_fullStr LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
title_full_unstemmed LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
title_sort lemabe: a novel framework to improve analogy-based software cost estimation using learnable evolution model
publisher PeerJ
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/94023/
https://peerj.com/articles/cs-800/
_version_ 1762963280903536640
score 13.211869

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