A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects-Reference-Cited by-同舟云学术

A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

Published:2020-10-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
language:
Short-container-title:

Author:

Simmons Andrew J.¹,Barnett Scott¹,Rivera-Villicana Jessica¹,Bajaj Akshat¹,Vasa Rajesh¹

Affiliation:

1. Deakin University, Applied Artificial Intelligence Inst. Geelong, VIC, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3382494.3410680

Reference32 articles.

1. On the usage of pythonic idioms

2. Learning natural coding conventions

3. Brian Allbee. 2018. Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code. Packt Publishing Ltd. Brian Allbee. 2018. Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code. Packt Publishing Ltd.

4. Python Coding Style Compliance on Stack Overflow

5. Scott Barnett. 2017. Extracting Technical Domain Knowledge to Improve Software Architecture. Ph.D. Dissertation. Swinburne University of Technology. Scott Barnett. 2017. Extracting Technical Domain Knowledge to Improve Software Architecture. Ph.D. Dissertation. Swinburne University of Technology.

Cited by 13 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. Comparative analysis of real issues in open-source machine learning projects;Empirical Software Engineering;2024-05

2. A Large-Scale Study of ML-Related Python Projects;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

3. Do Code Quality and Style Issues Differ Across (Non-)Machine Learning Notebooks? Yes!;2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM);2023-10-02

4. Simple stupid insecure practices and GitHub’s code search: A looming threat?;Journal of Systems and Software;2023-08

5. An Empirical Study on Code Smell Introduction and Removal in Deep Learning Software Projects;International Journal of Software Engineering and Knowledge Engineering;2023-04-14