关键词: 缺陷追踪, 缺陷报告分配, 深度学习

Abstract:  Open source projects typically support an open bug repository to which developers and users can report bugs. As the increase in bug reports and developers, it is a challenge to assign large amounts of bug reports effectively to the appropriate developers. This paper applies two deep learning approaches, long-short term memory and convolutional neural network, to learn the features of bug reports and then makes assignments. Deep learning approaches are expert in learning features and making assignments effectively with the help of features. Compared to the traditional machine learning approaches such as Bayesian learning and support vector machine, the proposed approach can assign bug reports to developers effectively.

Key words: issue tracking, bug report assignment, deep learning