Just-in-time defect prediction for Android apps via imbalanced deep learning model. Zhao, K., Xu, Z., Yan, M., Tang, Y., Fan, M., & Catolino, G. In Hung, C., Hong, J., Bechini, A., & Song, E., editors, SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021, pages 1447–1454, 2021. ACM. Paper doi bibtex @inproceedings{DBLP:conf/sac/Zhao0YTFC21,
author = {Kunsong Zhao and
Zhou Xu and
Meng Yan and
Yutian Tang and
Ming Fan and
Gemma Catolino},
editor = {Chih{-}Cheng Hung and
Jiman Hong and
Alessio Bechini and
Eunjee Song},
title = {Just-in-time defect prediction for Android apps via imbalanced deep
learning model},
booktitle = {{SAC} '21: The 36th {ACM/SIGAPP} Symposium on Applied Computing, Virtual
Event, Republic of Korea, March 22-26, 2021},
pages = {1447--1454},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3412841.3442019},
doi = {10.1145/3412841.3442019},
timestamp = {Sun, 04 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/sac/Zhao0YTFC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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