%A FU Kun, WU Yi-jian, PENG Xin and ZHAO Wen-yun %T Feature Location Method Based on Sub-graph Searching %0 Journal Article %D 2017 %J Computer Science %R 10.11896/j.issn.1002-137X.2017.04.012 %P 56-59 %V 44 %N 4 %U {https://www.jsjkx.com/CN/abstract/article_855.shtml} %8 2018-11-13 %X The process to identify relevant program elements according to a given feature is called feature location.However,existing feature location methods,mainly based on feature description and source code structure,only produce source code elements as the result,which is usually lack of structural information and makes it difficult for developers to understand the code structure quickly.To solve this problem,a feature location method based on sub-graph search was proposed.The method finds out code elements related to the feature and the results can be displayed in a call graph.The method is implemented as a tool and tested for its performance.The average precision is 40.41% and the average recall is 50.28%.