计算机应用研究Issue(1)：132-135,146,5.DOI:10.3969/j.issn.1001-3695.2016.01.031
一种基于命名实体识别的需求跟踪方法
Recovering traceability links using named entity recognition
摘要
Abstract
Aiming at the problem that requirement traceability approaches based on textual information were rely heavily on the quality of the text,this paper proposed a traceability approach utilized named entity recognition technology to identify key words in software artefacts.Firstly,the proposed method constructed a named entity recognition model through the context of code entity,which solved the issue that abstract syntax tree and the regular expression was not able to parse non-source form software artefacts.After that,the proposed method transformed software artefacts to document set,and then carried out a se-mantic clustering process to cluster documents.Finally,the proposed method created trace links between software artefacts using the mapping algorithm.The experimental results show that comparing with those traceability approaches based on the all terms and high weight terms,this method is able to effectively improve the quality of requirement tracing results.关键词
需求跟踪/命名实体识别/语义聚类/自然语言处理/权重计算Key words
requirement traceability/named entity recognition/semantic clustering/natural language process/term weigh-ting分类
信息技术与安全科学引用本文复制引用
王金水,薛醒思,唐郑熠..一种基于命名实体识别的需求跟踪方法[J].计算机应用研究,2016,(1):132-135,146,5.基金项目
国家自然科学基金资助项目（61402108）；福建省中青年教师教育科研项目（JA15348；JA13227；JB12146）；福建省科技厅高校项目（JK2012033）；福建工程学院科研启动基金资助项目 （）
