Fast Detection of Duplicate Bug Reports using LDA-based Topic Modeling and Classification-Reference-Cited by-同舟云学术

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Fast Detection of Duplicate Bug Reports using LDA-based Topic Modeling and Classification

Published:2020-10-11 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Akilan Thangarajah,Shah Dhruvit,Patel Nishi,Mehta Rinkal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9282733/9282811/09283289.pdf?arnumber=9283289

Cited by 6 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. A data-driven approach for understanding invalid bug reports: An industrial case study;Information and Software Technology;2023-12

2. NLP-driven Content Classification Towards Fake News and Bully Detection;2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings);2023-09-16

3. Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection;2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2023-03

4. Sentence embedding and fine-tuning to automatically identify duplicate bugs;Frontiers in Computer Science;2023-01-19

5. Topic Modeling Approaches—A Comparative Analysis;Hybrid Intelligent Systems;2023

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