DyPyBench introduces a benchmark suite encompassing 50 Python projects with 681k lines of code and 30k test cases. It enables various applications in testing and dynamic analysis, such as comparing static and dynamic call graphs, training neural models like LExecutor, and mining API usage specifications from execution traces. The benchmark aims to address the lack of comprehensive executable Python project benchmarks for dynamic analyses.
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arxiv.org
ข้อมูลเชิงลึกที่สำคัญจาก
by Islem Bouzen... ที่ arxiv.org 03-04-2024
https://arxiv.org/pdf/2403.00539.pdfสอบถามเพิ่มเติม