文献
J-GLOBAL ID:202202233929470476
整理番号:22A0848050
クロストリプレット深層特徴埋込みによるモバイルアプリケーションに対する努力を意識したジャストインタイムバグ予測【JST・京大機械翻訳】
Effort-Aware Just-in-Time Bug Prediction for Mobile Apps Via Cross-Triplet Deep Feature Embedding
著者 (8件):
Xu Zhou
(Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, China, and School of Big Data and Software Engineering, Chongqing University, Chongqing, China)
,
Zhao Kunsong
(School of Computer Science, Wuhan University, Wuhan, China)
,
Zhang Tao
(Faculty of Information Technology, Macau University of Science and Technology, Macau, China)
,
Fu Chunlei
(Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, China, and School of Big Data and Software Engineering, Chongqing University, Chongqing, China)
,
Yan Meng
(Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, China, and School of Big Data and Software Engineering, Chongqing University, Chongqing, China)
,
Xie Zhiwen
(School of Computer Science, Wuhan University, Wuhan, China)
,
Zhang Xiaohong
(Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education, China, and School of Big Data and Software Engineering, Chongqing University, Chongqing, China)
,
Catolino Gemma
(Jheronimus Academy of Data Science, Tilburg University, Tilburg, The Netherlands)
資料名:
IEEE Transactions on Reliability
(IEEE Transactions on Reliability)
巻:
71
号:
1
ページ:
204-220
発行年:
2022年
JST資料番号:
C0448A
ISSN:
0018-9529
CODEN:
IERQAD
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)