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New JupOtter System Detects Bugs in Jupyter Notebooks

By PulseAugur Editorial · [1 sources] ·

Researchers have developed JupOtter, a new system for detecting bugs specifically within Jupyter Notebooks. This system utilizes a unique tokenization method that maintains the notebook's cell structure and employs a cell-level bug prediction technique. JupOtter was trained on OtterDataset, a newly created dataset comprising over 21,000 notebooks annotated for cell-level bugs, and has demonstrated superior performance compared to traditional static analyzers and large language models on certain evaluation datasets. AI

IMPACT This research could improve the reliability of code developed in Jupyter Notebooks, a popular environment for data science and scientific computing.

RANK_REASON The cluster contains an academic paper detailing a new system and dataset for bug detection in Jupyter Notebooks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New JupOtter System Detects Bugs in Jupyter Notebooks

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The cluster contains an academic paper detailing a new system and dataset for bug detection in Jupyter Notebooks. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lukas Ottenhof, Thibaud Lutellier ·

    JupOtter: Cell-Level Bug Detection in Jupyter Notebooks

    arXiv:2606.23877v1 Announce Type: cross Abstract: Jupyter Notebooks are an increasingly popular coding environment used across many domains, especially in Python-based data science and scientific computing. Originally used for prototyping and interactive exploration, notebooks ar…

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