A Multimodal Deep Learning Model Using Text, Image, and Code Data for Improving Issue Classification Tasks
Issue reports are valuable resources for the continuous maintenance and improvement of software. Managing issue reports requires a significant effort from developers. To address this problem, many researchers have proposed automated techniques for classifying issue reports. However, those techniques...
Main Authors: | Changwon Kwak, Pilsu Jung, Seonah Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/16/9456 |
Similar Items
-
A Comparison of Pretrained Models for Classifying Issue Reports
by: Jueun Heo, et al.
Published: (2024-01-01) -
A Systematic Literature Review of Issue-Based Requirement Traceability
by: Yijing Lyu, et al.
Published: (2023-01-01) -
An Empirical Study on Using Multi-Labels for Issues in GitHub
by: Jindae Kim, et al.
Published: (2021-01-01) -
A Multidocument Summarization Technique for Informative Bug Summaries
by: Samal Mukhtar, et al.
Published: (2024-01-01) -
Bug Localization for Version Issues With Defect Patterns
by: Xiaobing Sun, et al.
Published: (2019-01-01)