BERT based severity prediction of bug reports for the maintenance of mobile applications-Reference-Cited by-同舟云学术

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BERT based severity prediction of bug reports for the maintenance of mobile applications

Published:2024-02 Issue: Volume:208 Page:111898
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Ali Asif,Xia Yuanqing^ORCID,Umer Qasim^ORCID,Osman Mohamed

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference51 articles.

1. A methodology for emergency calls severity prediction: From pre-processing to BERT-based classifiers;Abi Kanaan,2023

2. Senticr: A customized sentiment analysis tool for code review interactions;Ahmed,2017

3. Ahmed, I., Rahman, M.M., Roy, C.K., 2017b. SentiCR: A Customized Sentiment Analysis Tool for Code Review Interactions. In: Proceedings of the 25th International Conference on Program Comprehension. pp. 312–315.

4. Bug reports prioritization: Which features and classifier to use?;Alenezi,2013

5. JIRA issue tracker;Atlassian,2018

Cited by 2 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. Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction;Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering;2024-07-10

2. Mobile-UI-Repair: a deep learning based UI smell detection technique for mobile user interface;PeerJ Computer Science;2024-05-16

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