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, A. Mostaf, Salama, Mustapha, Aida, Salamat, Mohamad Aizi, Hassan, Mustafa Hamid, Mohammed, Mazin Abed, AL-Dhief, Fahad Taha
Format:	Article
Language:	English
Published:	Wiley 2023
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/9281/ http://eprints.uthm.edu.my/9281/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf

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author	Jubair, Mohammed Ahmed A. Mostaf, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed AL-Dhief, Fahad Taha
author_facet	Jubair, Mohammed Ahmed A. Mostaf, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed AL-Dhief, Fahad Taha
author_sort	Jubair, Mohammed Ahmed
building	UTHM Institutional Repository
collection	Online Access
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 a flexible 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.
first_indexed	2025-11-15T20:29:16Z
format	Article
id	uthm-9281
institution	Universiti Tun Hussein Onn Malaysia
institution_category	Local University
language	English
last_indexed	2025-11-15T20:29:16Z
publishDate	2023
publisher	Wiley
recordtype	eprints
repository_type	Digital Repository
spelling	uthm-92812023-07-17T07:47:37Z http://eprints.uthm.edu.my/9281/ A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification Jubair, Mohammed Ahmed A. Mostaf, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed AL-Dhief, Fahad Taha 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 a flexible 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 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/9281/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf Jubair, Mohammed Ahmed and A. Mostaf, Salama and Mustapha, Aida and Salamat, Mohamad Aizi and Hassan, Mustafa Hamid and Mohammed, Mazin Abed and AL-Dhief, Fahad Taha (2023) 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
spellingShingle	T Technology (General) Jubair, Mohammed Ahmed A. Mostaf, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed AL-Dhief, Fahad Taha A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification
title	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_short	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
topic	T Technology (General)
url	http://eprints.uthm.edu.my/9281/ http://eprints.uthm.edu.my/9281/ http://eprints.uthm.edu.my/9281/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf

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

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