RefExpo: Unveiling Software Project Structures through Advanced Dependency Graph Extraction
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| Publicado en: | arXiv.org (Dec 4, 2024), p. n/a |
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| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
Cornell University Library, arXiv.org
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
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| Resumen: | The dependency graph (DG) of a software project offers valuable insights for identifying its key components and has been leveraged in numerous studies. However, there is a lack of reusable tools for DG extraction. Existing tools are either outdated and difficult to configure or fail to provide accurate analysis. This study introduces RefExpo, a reusable DG extraction tool that supports multiple languages such as Java, Python, and JavaScript. RefExpo is a plugin based on IntelliJ, a well-maintained and reputed IDE. We also compile an initial version of our dataset, consisting of 20 Java and Python projects. RefExpo's validity is evaluated at two levels: specific language features and comparisons against other tools, referred to as micro and macro levels. Our results show RefExpo achieves 92\% and 100\% recall on micro test suites Judge and PyCG for Python and Java, respectively. In macro-level experiments, RefExpo outperformed existing tools by 31\% and 7\% in finding unique and shared results. The installable version of RefExpo is available on the IntelliJ marketplace, and a short video describing its functionality is available on YouTube. |
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| ISSN: | 2331-8422 |
| Fuente: | Engineering Database |