计算机应用与软件2017，Vol.34Issue(6)：12-17,51,7.DOI:10.3969/j.issn.1000-386x.2017.06.003
基于RNN进行面向主题的特征定位方法
TOPIC ORIENTED FEATURE LOCALIZATION METHOD BASED ON RNN
尹春林 1王炜 1李彤 2何云1
作者信息
- 1. 云南大学软件学院 云南 昆明 650500
- 2. 云南省软件工程重点实验室 云南 昆明 650500
- 折叠
摘要
Abstract
Software feature localization is a prerequisite for the smooth development of software evolution.The performance of the current feature location study still needs to be further improved.In order to obtain better performance, get the subject knowledge in the folder granularity was gotten.All the classes under a folder in the system were divided into the same subject knowledge class, This paper proposed a topic-oriented feature locating using depth learning algorithm-Recurrent Neural Networks(RNN).At the same time, an improved model was proposed based on this method.In order to make the experimental results more realistic, compared with the baseline method and other methods, this article will test data from 10 to 531 group and the retrieval rate from 15% to 10%.The experimental results show that this method has better performance than either the baseline method or the feature orientation method.关键词
软件特征定位/软件演化/深度学习/循环神经网络/面向主题Key words
Software feature localization/Software evolution/Deep learning/Recurrent neural network/Topic oriented分类
信息技术与安全科学引用本文复制引用
尹春林,王炜,李彤,何云..基于RNN进行面向主题的特征定位方法[J].计算机应用与软件,2017,34(6):12-17,51,7.
