Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique

Duplicate bug report detection is a process of finding a duplicate bug report in the bug tracking system. This process is essential to avoid unnecessary work and rediscovery. In typical bug tracking systems, more than thousands of duplicate bug reports are reported every day. In turn, human cost, ef...

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Bibliographic Details
Main Authors: Ashima Kukkar, Rajni Mohana, Yugal Kumar, Anand Nayyar, Muhammad Bilal, Kyung-Sup Kwak
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Duplicate bug report detection
Siamese networks
natural language processing
deep learning
bug tracking system
software maintenance
Online Access:https://ieeexplore.ieee.org/document/9235309/

Internet

https://ieeexplore.ieee.org/document/9235309/

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