Complex Python features in the wild-Reference-Cited by-同舟云学术

Complex Python features in the wild

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Mining Software Repositories
language:
Short-container-title:

Author:

Yang Yi¹,Milanova Ana¹,Hirzel Martin²

Affiliation:

1. Rensselaer Polytechnic Institute

2. IBM Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524842.3528467

Reference28 articles.

1. [n. d.]. Depends: Comprehensive Code Dependency Analysis Tool. https://github.com/multilang-depends/depends (retrieved March 2022 ). [n. d.]. Depends: Comprehensive Code Dependency Analysis Tool. https://github.com/multilang-depends/depends (retrieved March 2022).

2. [n. d.]. Pyan: Static Analysis of Python Code. https://github.com/davidfraser/pyan (retrieved March 2022 ). [n. d.]. Pyan: Static Analysis of Python Code. https://github.com/davidfraser/pyan (retrieved March 2022).

3. [n. d.]. The Python Language Reference: 8. Compound Statements. https://docs.python.org/3/reference/compound_stmts.html (retrieved March 2022 ). [n. d.]. The Python Language Reference: 8. Compound Statements. https://docs.python.org/3/reference/compound_stmts.html (retrieved March 2022).

4. [n. d.]. pytype: A static type analyzer for Python code. https://google.github.io/pytype/ (retrieved March 2022 ). [n. d.]. pytype: A static type analyzer for Python code. https://google.github.io/pytype/ (retrieved March 2022).

5. 2001. PyLint: Code analysis for Python. https://pylint.org (retrieved March 2022 ). 2001. PyLint: Code analysis for Python. https://pylint.org (retrieved March 2022).

Cited by 5 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. Static analysis driven enhancements for comprehension in machine learning notebooks;Empirical Software Engineering;2024-08-12

2. Efficient Construction of Practical Python Call Graphs with Entity Knowledge Base;International Journal of Software Engineering and Knowledge Engineering;2024-05-22

3. TypeScript’s Evolution: An Analysis of Feature Adoption Over Time;2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR);2023-05

4. Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis;2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2023-03

5. Characterizing Python Method Evolution with PyMevol: An Essential Step Towards Enabling Reliable Software Systems;2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW);2022-10