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A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification

Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possi...

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Main Authors: Jubair, Mohammed Ahmed, Mostafa2, Salama A., Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, Taha AL-Dhief, Fahad
Format: Article
Language:English
Published: Wiley 2022
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/8843/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf
http://eprints.uthm.edu.my/8843/
https://doi.org/10.1049/cmu2.12555
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spelling my.uthm.eprints.88432023-06-18T01:31:02Z http://eprints.uthm.edu.my/8843/ A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification Jubair, Mohammed Ahmed Mostafa2, Salama A. Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed Taha AL-Dhief, Fahad T Technology (General) Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. In the existing methods, such as Reconstructed Automated Requirement Measurement, and Rendex, some major processes are still handled offline by humans (semi-automated) or encompass automating the measurement of a few quality attributes due to the mentioned challenges. This paper addressed this gap and proposed an Automated Quality Assessment of SRS (AQA-SRS) framework to assess the SRS documents by automatically extracting features related to 11 quality attributes through a deep analysis of the SRS textual content. Also, it constructs aflexible platform that is able to minimize the human expert’s role in the SRS assessment. The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. The results show that the AQA-SRS framework effectively assesses the tested SRS documents and achieves a 78% total agreement with the tested methods and software engineering experts. Wiley 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/8843/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf Jubair, Mohammed Ahmed and Mostafa2, Salama A. and Mustapha, Aida and Salamat, Mohamad Aizi and Hassan, Mustafa Hamid and Mohammed, Mazin Abed and Taha AL-Dhief, Fahad (2022) A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification. IET Communications. pp. 1-17. https://doi.org/10.1049/cmu2.12555
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Jubair, Mohammed Ahmed
Mostafa2, Salama A.
Mustapha, Aida
Salamat, Mohamad Aizi
Hassan, Mustafa Hamid
Mohammed, Mazin Abed
Taha AL-Dhief, Fahad
A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
description Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. In the existing methods, such as Reconstructed Automated Requirement Measurement, and Rendex, some major processes are still handled offline by humans (semi-automated) or encompass automating the measurement of a few quality attributes due to the mentioned challenges. This paper addressed this gap and proposed an Automated Quality Assessment of SRS (AQA-SRS) framework to assess the SRS documents by automatically extracting features related to 11 quality attributes through a deep analysis of the SRS textual content. Also, it constructs aflexible platform that is able to minimize the human expert’s role in the SRS assessment. The AQA-SRS framework integrates Natural Language Processing, K-means, Multi-agent, and Case-Based Reasoning. The AQA-SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state-of-the-art methods and analysis by software engineering experts. The results show that the AQA-SRS framework effectively assesses the tested SRS documents and achieves a 78% total agreement with the tested methods and software engineering experts.
format Article
author Jubair, Mohammed Ahmed
Mostafa2, Salama A.
Mustapha, Aida
Salamat, Mohamad Aizi
Hassan, Mustafa Hamid
Mohammed, Mazin Abed
Taha AL-Dhief, Fahad
author_facet Jubair, Mohammed Ahmed
Mostafa2, Salama A.
Mustapha, Aida
Salamat, Mohamad Aizi
Hassan, Mustafa Hamid
Mohammed, Mazin Abed
Taha AL-Dhief, Fahad
author_sort Jubair, Mohammed Ahmed
title A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
title_short A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
title_full A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
title_fullStr A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
title_full_unstemmed A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
title_sort multi-agent k-means with case-based reasoning for an automated quality assessment of software requirement specification
publisher Wiley
publishDate 2022
url http://eprints.uthm.edu.my/8843/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf
http://eprints.uthm.edu.my/8843/
https://doi.org/10.1049/cmu2.12555
_version_ 1769845102424883200
score 13.211869

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