Understanding performance concerns in the API documentation of data science libraries

Author:

Tao Yida1,Jiang Jiefang1,Liu Yepang2,Xu Zhiwu1,Qin Shengchao1

Affiliation:

1. Shenzhen University, China

2. Southern University of Science and Technology, China

Funder

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

ACM

Reference49 articles.

1. [n.d.]. Gensim. https://radimrehurek.com/gensim/ [n.d.]. Gensim. https://radimrehurek.com/gensim/

2. [n.d.]. GitHub REST API v3. https://developer.github.com/v3/ [n.d.]. GitHub REST API v3. https://developer.github.com/v3/

3. [n.d.]. NumPy. http://www.numpy.org/. [n.d.]. NumPy. http://www.numpy.org/.

4. [n.d.]. Pandas. https://pandas.pydata.org/. [n.d.]. Pandas. https://pandas.pydata.org/.

5. [n.d.]. Project Jupyter. https://jupyter.org/ [n.d.]. Project Jupyter. https://jupyter.org/

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bug Analysis in Jupyter Notebook Projects: An Empirical Study;ACM Transactions on Software Engineering and Methodology;2024-04-18

2. Learning-based Identification of Coding Best Practices from Software Documentation;2022 IEEE International Conference on Software Maintenance and Evolution (ICSME);2022-10

3. Understanding performance concerns in the API documentation of data science libraries;Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering;2020-12-21

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