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On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook
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  • Yutian Tang,
  • Mingke Yang,
  • Yuming Zhou,
  • Bixin Li
Yutian Tang
Nanjing University of Science and Technology School of Computer Science and Engineering

Corresponding Author:[email protected]

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Mingke Yang
ShanghaiTech University
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Yuming Zhou
Nanjing University Department of Computer Science and Technology
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Bixin Li
Southeast University School of Computer Science and Engineering
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Jupyter Notebook is a popular tool among data analysts and scientists for working with data. It provides a way to combine code, documentation, and visualizations in a single, interactive environment, facilitating code reuse. While code reuse can improve programming efficiency, it can also decrease readability, security, and overall performance. We conduct a large-scale exploratory study of code reuse practices in the Jupyter Notebook development community on the Stack Overflow platform to understand the potential negative impacts of code reuse. Our findings identified 1,097,470 Jupyter Notebook clone pairs that reuse Stack Overflow code snippets, and the average code snippet has 7.91 code quality violations. Through our research, we gain insight into the reasons behind Jupyter Notebook developers' decision to reuse code and the potential drawbacks of this practice.
23 Feb 2023Submitted to Software: Practice and Experience
27 Feb 2023Assigned to Editor
27 Feb 2023Submission Checks Completed
15 Mar 2023Review(s) Completed, Editorial Evaluation Pending
18 Mar 2023Reviewer(s) Assigned