Cross-project defect prediction based on G-LSTM model

Ying Xing,Xiaomeng Qian,Yu Guan,Bin Yang,Yuwei Zhang

Pattern Recognition Letters（2022）

引用 5|浏览22

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摘要

•To create your highlights, please type over the instructions in the template box below:•Pre-processing and feature extraction techniques from NLP domain to CPDP domain.•The feature extractor combines BLSTM with an attention mechanism to enhance the effect.•An adversarial structure is used to solve the distribution differences problem.

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关键词

Computational language processing,Cross-project defect prediction,Long-term and short-term memory neural network,Continuous bag-of-word model,Generative adversarial network

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