Software module clustering: An in-depth literature analysis
Software module clustering is an unsupervised learning method used to cluster software entities (e.g., classes, modules, or files) with similar features. The obtained clusters may be used to study, analyze, and understand the software entities' structure and behavior. Implementing software modu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/34623/ http://umpir.ump.edu.my/id/eprint/34623/1/Software%20module%20clustering_An%20in-depth%20literature%20analysis.pdf |
| _version_ | 1848824556240764928 |
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| author | Qusay I., Sarhan Ahmed, Bestoun S. Bures, Miroslav Kamal Z., Zamli |
| author_facet | Qusay I., Sarhan Ahmed, Bestoun S. Bures, Miroslav Kamal Z., Zamli |
| author_sort | Qusay I., Sarhan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Software module clustering is an unsupervised learning method used to cluster software entities (e.g., classes, modules, or files) with similar features. The obtained clusters may be used to study, analyze, and understand the software entities' structure and behavior. Implementing software module clustering with optimal results is challenging. Accordingly, researchers have addressed many aspects of software module clustering in the past decade. Thus, it is essential to present the research evidence that has been published in this area. In this study, 143 research papers from well-known literature databases that examined software module clustering were reviewed to extract useful data. The obtained data were then used to answer several research questions regarding state-of-the-art clustering approaches, applications of clustering in software engineering, clustering processes, clustering algorithms, and evaluation methods. Several research gaps and challenges in software module clustering are discussed in this paper to provide a useful reference for researchers in this field. |
| first_indexed | 2025-11-15T03:14:54Z |
| format | Article |
| id | ump-34623 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:14:54Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-346232022-11-09T08:25:12Z http://umpir.ump.edu.my/id/eprint/34623/ Software module clustering: An in-depth literature analysis Qusay I., Sarhan Ahmed, Bestoun S. Bures, Miroslav Kamal Z., Zamli QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Software module clustering is an unsupervised learning method used to cluster software entities (e.g., classes, modules, or files) with similar features. The obtained clusters may be used to study, analyze, and understand the software entities' structure and behavior. Implementing software module clustering with optimal results is challenging. Accordingly, researchers have addressed many aspects of software module clustering in the past decade. Thus, it is essential to present the research evidence that has been published in this area. In this study, 143 research papers from well-known literature databases that examined software module clustering were reviewed to extract useful data. The obtained data were then used to answer several research questions regarding state-of-the-art clustering approaches, applications of clustering in software engineering, clustering processes, clustering algorithms, and evaluation methods. Several research gaps and challenges in software module clustering are discussed in this paper to provide a useful reference for researchers in this field. Institute of Electrical and Electronics Engineers Inc. 2022-06-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34623/1/Software%20module%20clustering_An%20in-depth%20literature%20analysis.pdf Qusay I., Sarhan and Ahmed, Bestoun S. and Bures, Miroslav and Kamal Z., Zamli (2022) Software module clustering: An in-depth literature analysis. IEEE Transactions on Software Engineering, 48 (6). pp. 1905-1928. ISSN 0098-5589. (Published) https://doi.org/10.1109/TSE.2020.3042553 https://doi.org/10.1109/TSE.2020.3042553 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Qusay I., Sarhan Ahmed, Bestoun S. Bures, Miroslav Kamal Z., Zamli Software module clustering: An in-depth literature analysis |
| title | Software module clustering: An in-depth literature analysis |
| title_full | Software module clustering: An in-depth literature analysis |
| title_fullStr | Software module clustering: An in-depth literature analysis |
| title_full_unstemmed | Software module clustering: An in-depth literature analysis |
| title_short | Software module clustering: An in-depth literature analysis |
| title_sort | software module clustering: an in-depth literature analysis |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/34623/ http://umpir.ump.edu.my/id/eprint/34623/ http://umpir.ump.edu.my/id/eprint/34623/ http://umpir.ump.edu.my/id/eprint/34623/1/Software%20module%20clustering_An%20in-depth%20literature%20analysis.pdf |