Does Deep Learning improve the performance of duplicate bug report detection? An empirical study-Reference-Cited by-同舟云学术

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Does Deep Learning improve the performance of duplicate bug report detection? An empirical study

Published:2023-04 Issue: Volume:198 Page:111607
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Jiang Yuan^ORCID,Su Xiaohong,Treude Christoph^ORCID,Shang Chao,Wang Tiantian^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference66 articles.

1. Detecting duplicate bug reports with software engineering domain knowledge;Aggarwal;J. Softw.: Evol. Process,2017

2. SCOR: Source code retrieval with semantics and order;Akbar,2019

3. Performance evaluation of information retrieval models in bug localization on the method level;Alduailij,2015

4. A contextual approach towards more accurate duplicate bug report detection;Alipour,2013

5. Automated triaging of very large bug repositories;Banerjee;Inf. Softw. Technol.,2017

Cited by 1 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 Survey on Bug Deduplication and Triage Methods from Multiple Points of View;Applied Sciences;2023-07-29

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