An Improved Approach based on Balanced Keyword Weight to Traceability Recovery

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Wang, Xinye^1 ; Cao, Qinghua^1 ; Sun, Qing^1

School of Computer Science and Engineering, Beihang University, Beijing

100000, China^1

关键词: Error prone tasks;    In-buildings;    Learning to rank;    Software life cycles;    Software systems;    Software traceability;    Text similarity;    Traceability links;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052109/pdf
DOI  :  10.1088/1757-899X/569/5/052109

来源: IOP

【 摘 要 】

Software traceability recovery has become more and more important to the software life cycle recent days with the increasing complexity of software system. However, it is a tedious and error-prone task by manual. Many researchers have devoted themselves in building and predicting traceability links. In this paper, we approach a novel method to calculate text similarity and improve our results by a learning to rank method. And a couple of experiments are conducted to verify our method.