DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction
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Thong Hoang, Hoa Khanh Dam, Yasutaka Kamei, David Lo 0001, Naoyasu Ubayashi
DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction
MSR, 2019.

MSR 2019
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@inproceedings{MSR-2019-HoangDK0U,
	acmid         = "3341890",
	author        = "Thong Hoang and Hoa Khanh Dam and Yasutaka Kamei and David Lo 0001 and Naoyasu Ubayashi",
	booktitle     = "{Proceedings of the 16th Working Conference on Mining Software Repositories}",
	doi           = "10.1109/MSR.2019.00016",
	isbn          = "978-1-7281-3412-3",
	pages         = "34--45",
	publisher     = "{IEEE / ACM}",
	title         = "{DeepJIT: an end-to-end deep learning framework for just-in-time defect prediction}",
	year          = 2019,
}

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