research-article

NBSearch: Semantic Search and Visual Exploration of Computational Notebooks

Authors:

Jian ZhaoAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 308, Pages 1 - 14

https://doi.org/10.1145/3411764.3445048

Published: 07 May 2021 Publication History

Abstract

Code search is an important and frequent activity for developers using computational notebooks (e.g., Jupyter). The flexibility of notebooks brings challenges for effective code search, where classic search interfaces for traditional software code may be limited. In this paper, we propose, NBSearch, a novel system that supports semantic code search in notebook collections and interactive visual exploration of search results. NBSearch leverages advanced machine learning models to enable natural language search queries and intuitive visualizations to present complicated intra- and inter-notebook relationships in the returned results. We developed NBSearch through an iterative participatory design process with two experts from a large software company. We evaluated the models with a series of experiments and the whole system with a controlled user study. The results indicate the feasibility of our analytical pipeline and the effectiveness of NBSearch to support code search in large notebook collections.

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Cited By

Harden JWang AFaust RIsaacs KKirshenbaum NWenskovitch JZhao JNorth C(2024)Human-Notebook Interactions: The CHI of Computational NotebooksExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636318(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636318
Wang FLin YYang LLi HGu MZhu MQu H(2024)OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through OutlinesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642865(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642865
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Index Terms

NBSearch: Semantic Search and Visual Exploration of Computational Notebooks

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
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Microsoft Research, USA

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Harden JWang AFaust RIsaacs KKirshenbaum NWenskovitch JZhao JNorth C(2024)Human-Notebook Interactions: The CHI of Computational NotebooksExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636318(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636318
Wang FLin YYang LLi HGu MZhu MQu H(2024)OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through OutlinesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642865(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642865
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