关键词: 软件演化, 特征定位, 主题模型, 领域知识

Abstract: Feature location is the process that confirms the potential influence in software evolution. Feature location is a recognized critical factor that decides success or failure in evolution, and how to use domain knowledge to promote accuracy in feature location becomes an important problem in current research. This method extracts the features in the software source code, and analyzes the features by topic model, then inputs update report as a query to locate which source code has been changed. This paper makes experiments with open source software, then compares experimental results with the benchmark of the open source software, correlation results indicate that this method has higher accuracy and universality, and can verify software evolution. The average of recall can achieve 69.16% and 100%, the average of precision can achieve 1.28% and 2.43%, the average of harmonic mean can achieve 2.50% and 4.72%. The experimental results show that the performance is better than that of baseline.

Key words: software evolution, feature location, topic model, domain knowledge