计算机工程2011，Vol.37Issue(21)：46-48,3.DOI:10.3969/j.issn.1000-3428.2011.21.016
基于LDA主题模型的软件缺陷分派方法
Software Bug Triage Method Based on LDA Topic Model
摘要
Abstract
In traditional Vector Space Model(VSM) based software bug triage, the high dimensionality feature space are sparse and noise containing. Inspired by these characteristics, this paper proposes a software bug triage method based on Latent Dirichlet Allocation(LDA) topic model. It maps the bug report to the topic space, and makes triage in the new low dimension topic space. Experimental results show that, the method works well on bug triaging, with SVM and KNN classifiers.关键词
软件缺陷分派/隐含狄利克雷分配模型/马尔可夫链蒙特卡洛方法/吉布斯采样/文本分类/向量空间模型Key words
software bug triage/Latent Dirichlet Allocation(LDA) model/Markov-Chain Monte Carlo(MC,MC) method/Gibbs sampling/text classification/Vector Space Model(VSM)分类
信息技术与安全科学引用本文复制引用
黄小亮,郁抒思,关佶红..基于LDA主题模型的软件缺陷分派方法[J].计算机工程,2011,37(21):46-48,3.基金项目
国家自然科学基金资助项目(60873040) （60873040）
