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"DeepJIT: An End-To-End Deep Learning Framework for Just-In-Time Defect Prediction" paper notes

2022-07-31 03:33:00 【#ascetic】

The paper was published in: MSR-2019 (CCF-C).
Paper link: https://ieeexplore.ieee.org/document/8816772

Although the paper was published in the C-class conference (maybe want to quickly occupy a position), but he surpassed several optimal models at the time, and some existing research on immediate defect prediction are comparedModel for this paper.Therefore, the notes for reading the paper are recorded here. The experimental methods of the paper are relatively general, which are suitable for learning the understanding of the tasks done in this direction.

Let's go directly to the PPT I made below, which is enough to summarize the research of this paper.

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