Continual Prediction of Bug-Fix Time Using Deep Learning-Based Activity Stream Embedding

Continual Prediction of Bug-Fix Time Using Deep Learning-Based Activity Stream Embedding

Predicting the fix time of a bug is important for managing the resources and release milestones of a software development project. However, it is considered non-trivial to achieve high accuracy when predicting bug-fix times. We view that such difficulties come from the lack of continuous or posterio...

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Bibliographic Details
Main Authors: Youngseok Lee, Suin Lee, Chan-Gun Lee, Ikjun Yeom, Honguk Woo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Bug-fix time
activity stream
bug tracking system
deep learning
activity embedding
sequence learning model
Online Access:https://ieeexplore.ieee.org/document/8955829/

Internet

https://ieeexplore.ieee.org/document/8955829/

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