SiameseQAT: A Semantic Context-Based Duplicate Bug Report Detection Using Replicated Cluster Information

Author:

Rocha Thiago Marques,Carvalho Andre Luiz Da Costa

Funder

Samsung Eletrônica da Amazônia Ltd., through the Auspice of the Informatics Law

third-part Icomp/Federal University of Amazonas (UFAM), and (ii) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 15 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. Enhancement of Recommendation Engine Technique for Bug System Fixes;Journal of Advances in Information Technology;2024

2. Deep Learning and Search-Based Approach for Duplicate Bug Report Detection in Industrial Datasets;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

3. On understanding and predicting issue links;Requirements Engineering;2023-09-21

4. Unsupervised Learning Exploration for Duplicate Bug Report Detection;2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN);2023-08-17

5. Auto-grading C programming assignments with CodeBERT and Random Forest Regressor;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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