Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications
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arXiv
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| Hauptverfasser: | , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909134096433152 |
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| author | Schneider, Simon Bakhtin, Alexander Li, Xiaozhou Soldani, Jacopo Brogi, Antonio Cerny, Tomas Scandariato, Riccardo Taibi, Davide |
| author_facet | Schneider, Simon Bakhtin, Alexander Li, Xiaozhou Soldani, Jacopo Brogi, Antonio Cerny, Tomas Scandariato, Riccardo Taibi, Davide |
| contents | Architecture recovery tools help software engineers obtain an overview of their software systems during all phases of the software development lifecycle. This is especially important for microservice applications because their distributed nature makes it more challenging to oversee the architecture. Various tools and techniques for this task are presented in academic and grey literature sources. Practitioners and researchers can benefit from a comprehensive overview of these tools and their abilities. However, no such overview exists that is based on executing the identified tools and assessing their outputs regarding effectiveness. With the study described in this paper, we plan to first identify static analysis architecture recovery tools for microservice applications via a multi-vocal literature review, and then execute them on a common dataset and compare the measured effectiveness in architecture recovery. We will focus on static approaches because they are also suitable for integration into fast-paced CI/CD pipelines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_06941 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications Schneider, Simon Bakhtin, Alexander Li, Xiaozhou Soldani, Jacopo Brogi, Antonio Cerny, Tomas Scandariato, Riccardo Taibi, Davide Software Engineering Architecture recovery tools help software engineers obtain an overview of their software systems during all phases of the software development lifecycle. This is especially important for microservice applications because their distributed nature makes it more challenging to oversee the architecture. Various tools and techniques for this task are presented in academic and grey literature sources. Practitioners and researchers can benefit from a comprehensive overview of these tools and their abilities. However, no such overview exists that is based on executing the identified tools and assessing their outputs regarding effectiveness. With the study described in this paper, we plan to first identify static analysis architecture recovery tools for microservice applications via a multi-vocal literature review, and then execute them on a common dataset and compare the measured effectiveness in architecture recovery. We will focus on static approaches because they are also suitable for integration into fast-paced CI/CD pipelines. |
| title | Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2403.06941 |