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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/10410/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf |
| _version_ | 1825638348698419200 |
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| author | Mohammed Ahmed Jubair, Mohammed Ahmed Jubair A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Abed Mohammed, Mazin AL-Dhief, Fahad Taha |
| author_facet | Mohammed Ahmed Jubair, Mohammed Ahmed Jubair A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Abed Mohammed, Mazin AL-Dhief, Fahad Taha |
| author_sort | Mohammed Ahmed Jubair, Mohammed Ahmed Jubair |
| collection | UTHM |
| 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 | 2024-03-05T22:05:27Z |
| format | Article |
| id | uthm.eprints-10410 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:05:27Z |
| publishDate | 2023 |
| publisher | Wiley |
| record_format | dspace |
| spelling | uthm.eprints-104102023-11-21T01:44:23Z http://eprints.uthm.edu.my/10410/ A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification Mohammed Ahmed Jubair, Mohammed Ahmed Jubair A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Abed Mohammed, Mazin 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/10410/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf Mohammed Ahmed Jubair, Mohammed Ahmed Jubair and A. Mostafa, Salama and Mustapha, Aida and Salamat, Mohamad Aizi and Hassan, Mustafa Hamid and Abed Mohammed, Mazin 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) Mohammed Ahmed Jubair, Mohammed Ahmed Jubair A. Mostafa, Salama Mustapha, Aida Salamat, Mohamad Aizi Hassan, Mustafa Hamid Abed Mohammed, Mazin 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/10410/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf |
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