中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
基于开发者协作关系和信息检索的需求跟踪系统

文献类型:期刊论文

作者李姣阳 ; 李娟 ; 杨达
刊名计算机系统应用
出版日期2014
期号10页码:33-39
关键词需求跟踪 软件需求 开发者协作关系 代码提交日志 信息检索 requirement traceability software requirements developer collaboration relationship code commit log information retrieval
ISSN号1003-3254
其他题名Requirement-to-Code Traceability System Based on Developer Collaboration Relationship and Information Retrieval
中文摘要目前自动化需求跟踪的研究广泛使用文本信息检索技术。然而信息检索会遗漏一些文本不相似但是实际相关的软件制品,导致自动化跟踪的精度不高。针对上述问题,提出利用开发者协作关系来进行优化,研发了基于开发者协作关系和信息检索的需求跟踪系统。该系统在进行需求跟踪时,首先用信息检索推荐与需求文本上相似的代码,然后从代码提交日志中挖掘开发者协作关系,根据开发者协作关系再推荐相关代码,用户根据两次推荐的结果确定正确的需求代码跟踪关系。试验结果表明该系统能够找到信息检索遗漏的需求跟踪关系,能够提高自动化跟踪的准确性,节省跟踪时间。 Information retrieval (IR) is widely used in automatically discovering requirement traceability. However IR will miss some correct artifacts which have low text similarity with the requirement. There are accuracy issues in requirement traceability based on IR. To solve the problem, we propose an approach of using the developer collaborative relationship to improve the accuracy of the traceability links recovery between requirement and source code. Meanwhile, we develop a requirement-to-code traceability system. When the system is tracing, it retrieves the source code artifacts of the highest text similarity with the requirement and extracts the developer collaborative relationship from code commit logs. Then the system recommends some relevant code artifacts by developer collaboration relationship. Users can choose the correct code artifacts from the recommend result. The experiment shows that the requirement traceability system could improve the accuracy and the efficiency and reduce errors.
语种中文
公开日期2014-12-16
源URL[http://ir.iscas.ac.cn/handle/311060/16963]  
专题软件研究所_软件所图书馆_期刊论文
推荐引用方式
GB/T 7714
李姣阳,李娟,杨达. 基于开发者协作关系和信息检索的需求跟踪系统[J]. 计算机系统应用,2014(10):33-39.
APA 李姣阳,李娟,&杨达.(2014).基于开发者协作关系和信息检索的需求跟踪系统.计算机系统应用(10),33-39.
MLA 李姣阳,et al."基于开发者协作关系和信息检索的需求跟踪系统".计算机系统应用 .10(2014):33-39.

入库方式: OAI收割

来源:软件研究所

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