MLSmellHound: A Context-Aware Code Analysis Tool
Author:
Affiliation:
1. Applied Artificial Intelligence Inst., Deakin University,Geelong,Victoria,Australia
2. Delft University of Technology,Delft,Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9793505/9793506/09793510.pdf?arnumber=9793510
Reference34 articles.
1. Towards Context-Aware Code Comment Generation
2. Context-Aware Parse Trees;ye,2020
3. Toward a Context-Based Approach for Software Security Learning
4. The prevalence of code smells in machine learning projects;oort;Proceedings -2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI WAIN 2021 (2021),2021
5. How does code style inconsistency affect pull request integration? An exploratory study on 117 GitHub projects
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