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Better self-admitted technical debt identification with adaptive CNN.
Aug 2020 | repo
This project aims to improve efficiency of self-admitted technical debt identification with an adaptive CNN model.
- Incorporate a CNN model in the framework of a human-in-the-loop self-admitted technical debt identification system.
- Explore ways to efficiently update the CNN model with incrementally obtained labels.
- Make the prediction model of CNN adaptive to the target software project.