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.
Just-in-time defect prediction for Android apps via imbalanced deep learning model [link]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    = {Sat, 30 Sep 2023 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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