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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| Format: | Article |
| Language: | en |
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Wiley
2022
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| Online Access: | http://eprints.uthm.edu.my/11240/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf http://eprints.uthm.edu.my/11240/ https://doi.org/10.1049/cmu2.12555 |
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| author | Jubair, Mohammed Ahmed A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed Fahad Taha AL-Dhief, Fahad Taha AL-Dhief |
| author_facet | Jubair, Mohammed Ahmed A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed Fahad Taha AL-Dhief, Fahad Taha AL-Dhief |
| author_sort | Jubair, Mohammed Ahmed |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Article |
| id | my.uthm.eprints-11240 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2022 |
| publisher | Wiley |
| record_format | eprints |
| spelling | my.uthm.eprints-112402024-06-26T07:39:05Z http://eprints.uthm.edu.my/11240/ A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification Jubair, Mohammed Ahmed A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed Fahad Taha AL-Dhief, Fahad Taha AL-Dhief 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 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/11240/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf Jubair, Mohammed Ahmed and A. Mostafa, Salama and Mustapha, Aida and Salamat, Mohamad Aizi and Hassan, Mustafa Hamid and Mohammed, Mazin Abed and Fahad Taha AL-Dhief, Fahad Taha AL-Dhief (2022) A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification. The Institution of Engineering and Technology.. pp. 1-17. https://doi.org/10.1049/cmu2.12555 |
| spellingShingle | T Technology (General) Jubair, Mohammed Ahmed A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Mohammed, Mazin Abed Fahad Taha AL-Dhief, Fahad Taha AL-Dhief 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/11240/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf http://eprints.uthm.edu.my/11240/ https://doi.org/10.1049/cmu2.12555 |
| url_provider | http://eprints.uthm.edu.my/ |