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Enhancing software effort estimation in the analogy-based approach through the combination of regression methods

The success of software projects is closely linked to accurate effort estimation, driving continuous efforts by researchers to refine estimation methods. Among various techniques, the analogy-based approach has emerged as a widely-used method for software effort estimation. However, there is still a...

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Main Authors: Javdani Gandomani, Taghi, Dashti, Maedeh, Zulzalil, Hazura, Md Sultan, Abu Bakar
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114702/1/114702.pdf
http://psasir.upm.edu.my/id/eprint/114702/
https://ieeexplore.ieee.org/document/10716622/
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spelling my.upm.eprints.1147022025-01-23T07:58:08Z http://psasir.upm.edu.my/id/eprint/114702/ Enhancing software effort estimation in the analogy-based approach through the combination of regression methods Javdani Gandomani, Taghi Dashti, Maedeh Zulzalil, Hazura Md Sultan, Abu Bakar The success of software projects is closely linked to accurate effort estimation, driving continuous efforts by researchers to refine estimation methods. Among various techniques, the analogy-based approach has emerged as a widely-used method for software effort estimation. However, there is still a need to improve its accuracy and reliability. This study aims to enhance software effort estimation in analogy-based methods by introducing a hybrid approach that combines multiple regression methods with feature weighting. The proposed approach evaluates various regression models, integrating them with analogy-based estimation using a weighted combination of project features. The objective is to improve the precision of effort estimation by optimizing similarity functions and project attribute weights. Experimental results demonstrate that the hybrid model significantly outperforms traditional analogy-based methods, achieving superior accuracy across various software project datasets. The findings highlight the potential of this approach to offer a more dependable foundation for software effort estimation, contributing to the success of software projects. Institute of Electrical and Electronics Engineers Inc. 2024 Article PeerReviewed text en cc_by_nc_nd_4 http://psasir.upm.edu.my/id/eprint/114702/1/114702.pdf Javdani Gandomani, Taghi and Dashti, Maedeh and Zulzalil, Hazura and Md Sultan, Abu Bakar (2024) Enhancing software effort estimation in the analogy-based approach through the combination of regression methods. IEEE Access, 12. pp. 152122-152137. ISSN 2169-3536; eISSN: 2169-3536 https://ieeexplore.ieee.org/document/10716622/ 10.1109/ACCESS.2024.3480829
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/
language English
description The success of software projects is closely linked to accurate effort estimation, driving continuous efforts by researchers to refine estimation methods. Among various techniques, the analogy-based approach has emerged as a widely-used method for software effort estimation. However, there is still a need to improve its accuracy and reliability. This study aims to enhance software effort estimation in analogy-based methods by introducing a hybrid approach that combines multiple regression methods with feature weighting. The proposed approach evaluates various regression models, integrating them with analogy-based estimation using a weighted combination of project features. The objective is to improve the precision of effort estimation by optimizing similarity functions and project attribute weights. Experimental results demonstrate that the hybrid model significantly outperforms traditional analogy-based methods, achieving superior accuracy across various software project datasets. The findings highlight the potential of this approach to offer a more dependable foundation for software effort estimation, contributing to the success of software projects.
format Article
author Javdani Gandomani, Taghi
Dashti, Maedeh
Zulzalil, Hazura
Md Sultan, Abu Bakar
spellingShingle Javdani Gandomani, Taghi
Dashti, Maedeh
Zulzalil, Hazura
Md Sultan, Abu Bakar
Enhancing software effort estimation in the analogy-based approach through the combination of regression methods
author_facet Javdani Gandomani, Taghi
Dashti, Maedeh
Zulzalil, Hazura
Md Sultan, Abu Bakar
author_sort Javdani Gandomani, Taghi
title Enhancing software effort estimation in the analogy-based approach through the combination of regression methods
title_short Enhancing software effort estimation in the analogy-based approach through the combination of regression methods
title_full Enhancing software effort estimation in the analogy-based approach through the combination of regression methods
title_fullStr Enhancing software effort estimation in the analogy-based approach through the combination of regression methods
title_full_unstemmed Enhancing software effort estimation in the analogy-based approach through the combination of regression methods
title_sort enhancing software effort estimation in the analogy-based approach through the combination of regression methods
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/114702/1/114702.pdf
http://psasir.upm.edu.my/id/eprint/114702/
https://ieeexplore.ieee.org/document/10716622/
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score 13.244413

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