arXiv Open Access 2023

Optimizing Duplicate Size Thresholds in IDEs

Konstantin Grotov Sergey Titov Alexandr Suhinin Yaroslav Golubev Timofey Bryksin

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Abstrak

In this paper, we present an approach for transferring an optimal lower size threshold for clone detection from one language to another by analyzing their clone distributions. We showcase this method by transferring the threshold from regular Python scripts to Jupyter notebooks for using in two JetBrains IDEs, Datalore and DataSpell.

Topik & Kata Kunci

cs.SE

Penulis (5)

Konstantin Grotov

Sergey Titov

Alexandr Suhinin

Yaroslav Golubev

Timofey Bryksin

Format Sitasi

APA MLA BibTeX

Grotov, K., Titov, S., Suhinin, A., Golubev, Y., Bryksin, T. (2023). Optimizing Duplicate Size Thresholds in IDEs. https://arxiv.org/abs/2303.13247

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓