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 pos...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8522/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf |
| _version_ | 1825710588742860800 |
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| author | Ahmed Jubair, Mohammed Mostafa, Salama A. Mustapha, Aida Salamat, Mohamad Aizi Hamid Hassan, Mustafa Mohammed, Mazin Abed AL-Dhief, Fahad Taha |
| author_facet | Ahmed Jubair, Mohammed Mostafa, Salama A. Mustapha, Aida Salamat, Mohamad Aizi Hamid Hassan, Mustafa Mohammed, Mazin Abed AL-Dhief, Fahad Taha |
| author_sort | Ahmed Jubair, Mohammed |
| 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 | 2024-03-05T21:59:53Z |
| format | Article |
| id | uthm.eprints-8522 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:59:53Z |
| publishDate | 2022 |
| publisher | Wiley |
| record_format | dspace |
| spelling | uthm.eprints-85222023-04-05T03:05:33Z http://eprints.uthm.edu.my/8522/ A multi-agent K-means with case-based reasoning for an automated quality assessment of software requirement specification Ahmed Jubair, Mohammed Mostafa, Salama A. Mustapha, Aida Salamat, Mohamad Aizi Hamid Hassan, Mustafa Mohammed, Mazin Abed AL-Dhief, Fahad Taha TA Engineering (General). Civil engineering (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/8522/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf Ahmed Jubair, Mohammed and Mostafa, Salama A. and Mustapha, Aida and Salamat, Mohamad Aizi and Hamid Hassan, Mustafa and Mohammed, Mazin Abed and AL-Dhief, Fahad Taha (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 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Ahmed Jubair, Mohammed Mostafa, Salama A. Mustapha, Aida Salamat, Mohamad Aizi Hamid Hassan, Mustafa 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 | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.uthm.edu.my/8522/1/J15623_6f07f3ec314a1568f718a3e2a235512e.pdf |
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