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翻译 Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks翻译
Duplicate Bug Report Detection Using Dual-Channel Convolutional Neural Networks翻译ABSTRACT开发人员依靠错误报告来修复错误,错误报告通常在bug跟踪系统中存储和管理。由于表达习惯不同,不同的报告者可能会使用不同的表达方式来描述错误跟踪系统中的同一错误。结果,错误跟踪系统通常包含许多重复的错误报告。自动检测这些重复的错误报告将节省大量的错误分析工作。先前的研究发现,深度学习技术可有效地检测到重复的错误报告。受最近自然
2021-01-23 14:27:53 491
Duplicate Bug Report Detection Using Dual-Channel Convolution Neural Networks
2021-01-23
Duplicate Bug Report Detection Using Dual-Channel Convolution Neural Networks
2021-01-23
讲稿-Chu_Spot_and_Learn_A_Maximum-Entropy_Patch_Sampler_for_Few-Shot_Image.docx
2021-01-23
演示-Chu_Spot_and_Learn_A_Maximum-Entropy_Patch_Sampler_for_Few-Shot_Image.pptx
2021-01-23
讲稿-LaSO_Label-Set_Operations_Networks_for_Multi-Label_Few-Shot_Learning.docx
2021-01-23
演示-LaSO_Label-Set_Operations_Networks_for_Multi-Label_Few-Shot_Learning.pptx
2021-01-23
讲稿_Robust Multi-Modality Multi-Object Tracking.docx
2021-01-23
演示-Robust Multi-Modality Multi-Object Tracking.pptx
2021-01-23
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