LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis
The article discusses the need for a lightweight software architecture evaluation framework that can address practitioners' concerns. Specifically, the proposed framework uses process mining and Petri nets to analyze security and performance in software development's early and late stages....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024030007 |
| _version_ | 1797259834456801280 |
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| author | Mahdi Sahlabadi Ravie Chandren Muniyandi Zarina Shukur Md Rezanur Islam Morteza SaberiKamarposhti Kangbin Yim |
| author_facet | Mahdi Sahlabadi Ravie Chandren Muniyandi Zarina Shukur Md Rezanur Islam Morteza SaberiKamarposhti Kangbin Yim |
| author_sort | Mahdi Sahlabadi |
| collection | DOAJ |
| description | The article discusses the need for a lightweight software architecture evaluation framework that can address practitioners' concerns. Specifically, the proposed framework uses process mining and Petri nets to analyze security and performance in software development's early and late stages. Moreover, the framework has been implemented in six case studies, and the results show that it is a feasible and effective solution that can detect security and performance issues in complex and heterogeneous architecture with less time and effort. Furthermore, the article provides a detailed explanation of the framework's features, factors, and evaluation criteria. Additionally, this article discusses the challenges associated with traditional software architecture documentation methods using Unified Modeling Language diagrams and the limitations of code alone for creating comprehensive Software Architecture models. Various methods have been developed to extract implicit Software Architecture from code artifacts, but they tend to produce code-oriented diagrams instead of Software Architecture diagrams. Therefore, to bridge the model-code gap, the article proposes a framework that considers existing Software Architecture in the source code as architectural components and focuses on Software Architecture behaviors for analyzing performance and security. The proposed framework also suggests comparing Software Architecture extracted by different Process Mining algorithms to achieve consensus on architecture descriptions, using visualizations to understand differences and similarities. Finally, the article suggests that analyzing the previous version of a system's Software Architecture can lead to improvements and deviations from planned Software Architecture can be detected using traceability approaches to aid software architects in detecting inconsistencies. |
| first_indexed | 2024-03-07T18:36:46Z |
| format | Article |
| id | doaj.art-fe8cabba5c5f4ec78eafb08622f9c1d1 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T23:15:44Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-fe8cabba5c5f4ec78eafb08622f9c1d12024-03-17T07:56:55ZengElsevierHeliyon2405-84402024-03-01105e26969LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysisMahdi Sahlabadi0Ravie Chandren Muniyandi1Zarina Shukur2Md Rezanur Islam3Morteza SaberiKamarposhti4Kangbin Yim5Department of Information Security Engineering, Soonchunhyang University, Chungnam, Asan-si, 31538, South Korea; Corresponding author.Center For Cyber Security, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, MalaysiaCenter For Cyber Security, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, MalaysiaSoftware Convergence, Soonchunhyang University, Chungnam, Asan-si, 31538, South KoreaCenter For Cyber Security, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, MalaysiaDepartment of Information Security Engineering, Soonchunhyang University, Chungnam, Asan-si, 31538, South KoreaThe article discusses the need for a lightweight software architecture evaluation framework that can address practitioners' concerns. Specifically, the proposed framework uses process mining and Petri nets to analyze security and performance in software development's early and late stages. Moreover, the framework has been implemented in six case studies, and the results show that it is a feasible and effective solution that can detect security and performance issues in complex and heterogeneous architecture with less time and effort. Furthermore, the article provides a detailed explanation of the framework's features, factors, and evaluation criteria. Additionally, this article discusses the challenges associated with traditional software architecture documentation methods using Unified Modeling Language diagrams and the limitations of code alone for creating comprehensive Software Architecture models. Various methods have been developed to extract implicit Software Architecture from code artifacts, but they tend to produce code-oriented diagrams instead of Software Architecture diagrams. Therefore, to bridge the model-code gap, the article proposes a framework that considers existing Software Architecture in the source code as architectural components and focuses on Software Architecture behaviors for analyzing performance and security. The proposed framework also suggests comparing Software Architecture extracted by different Process Mining algorithms to achieve consensus on architecture descriptions, using visualizations to understand differences and similarities. Finally, the article suggests that analyzing the previous version of a system's Software Architecture can lead to improvements and deviations from planned Software Architecture can be detected using traceability approaches to aid software architects in detecting inconsistencies.http://www.sciencedirect.com/science/article/pii/S2405844024030007Lightweight early and late evaluationSoftware architectureProcess miningPetri nets complex and heterogeneous architecture |
| spellingShingle | Mahdi Sahlabadi Ravie Chandren Muniyandi Zarina Shukur Md Rezanur Islam Morteza SaberiKamarposhti Kangbin Yim LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis Heliyon Lightweight early and late evaluation Software architecture Process mining Petri nets complex and heterogeneous architecture |
| title | LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis |
| title_full | LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis |
| title_fullStr | LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis |
| title_full_unstemmed | LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis |
| title_short | LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis |
| title_sort | lpmsaef lightweight process mining based software architecture evaluation framework for security and performance analysis |
| topic | Lightweight early and late evaluation Software architecture Process mining Petri nets complex and heterogeneous architecture |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024030007 |
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