Predicting Duplicate in Bug Report Using Topic-Based Duplicate Learning With Fine Tuning-Based BERT Algorithm

Predicting Duplicate in Bug Report Using Topic-Based Duplicate Learning With Fine Tuning-Based BERT Algorithm

As the usage and coverage of software increase, various functional improvements and bugs are occurring. The Eclipse, Mozilla open-source projects receive more than about 300 bug reports per day. Usually, when a user finds a bug, they write a bug report. The developer assigned to the bug reads the co...

Full description

Bibliographic Details
Main Authors: Taemin Kim, Geunseok Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
BERT
feature selection
topic modeling
bug duplicate
software evolution
Online Access:https://ieeexplore.ieee.org/document/9968242/

Internet

https://ieeexplore.ieee.org/document/9968242/

Similar Items