Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"DeepJIT: an end-to-end deep learning framework for just-in-time defect ..."

Thong Hoang et al. (2019)

> Home

Details and statistics

DOI: 10.1109/MSR.2019.00016

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

- view
  authority control:
- export record
  dblp key:
  - conf/msr/HoangDK0U19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/msr/HoangDK0U19
Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo, Naoyasu Ubayashi:
DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction. MSR 2019: 34-45

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.