Detecting Code Smells with AI: a Prototype Study-Reference-Cited by-同舟云学术

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Detecting Code Smells with AI: a Prototype Study

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)
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Author:

Virmajoki Joonas¹,Knutas Antti¹,Kasurinen Jussi¹

Affiliation:

1. LUT University,School of Engineering Science (LENS),Lappeenranta,Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9803295/9803050/09803727.pdf?arnumber=9803727

Reference26 articles.

1. When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)

2. A Hybrid Approach To Detect Code Smells using Deep Learning

3. Limitations of Logic

4. AI for Testing Today and Tomorrow: Industry Perspectives

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. Data preparation for Deep Learning based Code Smell Detection: A systematic literature review;Journal of Systems and Software;2024-10

2. Developing Smarter Software Engineering Tools by Utilizing AI Assistance;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

3. Data Preparation for Deep Learning Based Code Smell Detection: A Systematic Literature Review;2024

4. Examining deep learning’s capability to spot code smells: a systematic literature review;Cluster Computing;2023-10-03

5. Exploration of the Feasibility and Applicability of Domain Adaptation in Machine Learning-Based Code Smell Detection;Communications in Computer and Information Science;2023

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