An HMM-based approach for automatic detection and classification of duplicate bug reports
基于HMM的自动检测和分类重复错误报告方法
CNN-Based Automatic Prioritization of Bug Reports
基于卷积神经网络的Bug报告自动优先级划分
Applying Convolutional Neural Networks With Different Word Representation Techniques to Recommend Bug Fixers
应用不同词表示技术的卷积神经网络来推荐错误修复者
统一的缺陷报告分配框架
A Unified Framework for Bug Report Assignment
利用深度神经网络改进软件缺陷特定命名实体识别
Improving software bug-specific named entity recognition with deep neural network
使用词嵌入和增强型卷积神经网络提高bug定位
Improving bug localization with word embedding and enhanced convolutional neural networks
HINDBR-异构信息网络基于重复错误报告的预测
HINDBR : Heterogeneous Information Network Based Duplicate Bug Report Prediction
一种新的通过查询扩展进行方法级精细化缺陷定位的方法
A novel approach to method-level fine-grained bug localization by query expansion
自动识别缺陷实体和关系以用于缺陷分析
Automatically Identifying Bug Entities and Relations for Bug Analysis.
使用软件工程领域知识检测重复的缺陷报告
Detecting duplicate bug reports with software engineering domain knowledge
从源代码和外部知识进行软件缺陷预测的语义特征学习
Semantic feature learning for software defect prediction from source code and external knowledge