关键词: 特征定位, 软件演化, 行为知识, 主题知识

Abstract: Feature location is one of the prerequisites for the sooth realization of software evolution intent. There are some problems in current location method, such as low precision, huge location space and low automatic degree. For these problems, this paper proposes a feature location method based on behavior knowledge and topic knowledge. This method combines the behavior knowledge with topic knowledge to reduce the state space of feature location, and then realizes the feature location by analyzing the similarity between topic knowledge and software function attributes. The experimental results show that compared with traditional textual feature location method, the proposed method has higher recall, precision and comprehensive performance. Finally, the experiments validate the effectiveness of the proposed method.

Key words: feature location, software evolution, behavior knowledge, topic knowledge