Using Software Metrics to detect Temporary Field code smell-Reference-Cited by-同舟云学术

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Using Software Metrics to detect Temporary Field code smell

Published:2020-01 Issue: Volume: Page:
ISSN:
Container-title:2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Gupta Ruchin,Singh Sandeep Kumar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9049530/9057798/09058138.pdf?arnumber=9058138

Cited by 4 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. The Source Code Maintenance Time Classifications from Code Smell;Advances in Internet, Data & Web Technologies;2023

2. A Study on the Metrics-Based Duplicated Code Type Smell Detection Techniques Relating the Metrics to Its Quality;Lecture Notes in Networks and Systems;2022-11-14

3. EkmEx - an extended framework for labeling an unlabeled fault dataset;Multimedia Tools and Applications;2022-01-08

4. Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV);2021 Thirteenth International Conference on Contemporary Computing (IC3-2021);2021-08-05

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