Dynamic and Static Analysis of Python Software with Kieker Including Reconstructed Architectures
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912520798732288 |
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| author | Larrivain, Daphné Yang, Shinhyung Hasselbring, Wilhelm |
| author_facet | Larrivain, Daphné Yang, Shinhyung Hasselbring, Wilhelm |
| contents | The Kieker observability framework is a tool that provides users with the means to design a custom observability pipeline for their application. Originally tailored for Java, supporting Python with Kieker is worthwhile. Python's popularity has exploded over the years, thus making structural insights of Python applications highly valuable. Our Python analysis pipeline combines static and dynamic analysis in order to build a complete picture of a given system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_23425 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic and Static Analysis of Python Software with Kieker Including Reconstructed Architectures Larrivain, Daphné Yang, Shinhyung Hasselbring, Wilhelm Software Engineering The Kieker observability framework is a tool that provides users with the means to design a custom observability pipeline for their application. Originally tailored for Java, supporting Python with Kieker is worthwhile. Python's popularity has exploded over the years, thus making structural insights of Python applications highly valuable. Our Python analysis pipeline combines static and dynamic analysis in order to build a complete picture of a given system. |
| title | Dynamic and Static Analysis of Python Software with Kieker Including Reconstructed Architectures |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2507.23425 |