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Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers

  • Published:2020 Issue: Volume:8 Page:213729-213747
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Zaidi Syed Farhan AlamORCID,Awan Faraz MalikORCID,Lee Minsoo,Woo HongukORCID,Lee Chan-GunORCID

Funder

Korea Atomic Energy Research Institute

ChungAng University

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 32 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. Risk governance and optimization of the intelligent news algorithm recommendation mechanism;International Journal of Modern Physics C;2024-09-05

2. An Ensemble Method for Bug Triaging using Large Language Models;Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings;2024-04-14

3. An empirical assessment of different word embedding and deep learning models for bug assignment;Journal of Systems and Software;2024-04

4. Development of Honey Badger-Cat Swarm Optimisation-Based Parallel Cascaded Deep Network for Software Bug Prediction Framework;Journal of Information & Knowledge Management;2024-02-01

5. Intuitionistic Fuzzy Set Based Ensemble Approaches for Software Bug Triaging;2023 OITS International Conference on Information Technology (OCIT);2023-12-13
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