会议论文详细信息
2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation | |
An Improved Approach based on Balanced Keyword Weight to Traceability Recovery | |
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 |
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来源: IOP | |
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【 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.
【 预 览 】
Files | Size | Format | View |
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An Improved Approach based on Balanced Keyword Weight to Traceability Recovery | 384KB | ![]() |