Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	37
Number of pages	44
Journal	Empirical Software Engineering
Volume	30
DOIs	https://doi.org/10.1007/s10664-024-10591-0
Publication status	Published - 10 Dec 2024

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@article{d5767d63d2454ce2a42e7f327bf85596,

title = "Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction",

author = "Xin Zhou and DongGyun Han and David Lo",

year = "2024",

month = dec,

day = "10",

doi = "10.1007/s10664-024-10591-0",

language = "English",

volume = "30",

journal = "Empirical Software Engineering",

issn = "1382-3256",

publisher = "Springer Netherlands",

}

TY - JOUR

T1 - Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction

AU - Zhou, Xin

AU - Han, DongGyun

AU - Lo, David

PY - 2024/12/10

Y1 - 2024/12/10

U2 - 10.1007/s10664-024-10591-0

DO - 10.1007/s10664-024-10591-0

M3 - Article

SN - 1382-3256

VL - 30

JO - Empirical Software Engineering

JF - Empirical Software Engineering

M1 - 37

ER -