文献类型：会议论文

英文题名：Requires Analysis Based on Software Maintainability

作者：Hu, Wensheng Zhao, Ming Wu, Shiyi Yang, Jianfeng

第一作者：胡文生

通信作者：Hu, WS[1]

机构：[1]Guizhou Inst Technol, Fac Informat Engn, Guiyang, Guizhou, Peoples R China;[2]Guizhou Univ, Coll Sci, Guiyang, Guizhou, Peoples R China;[3]Gavle Univ, Dept Technol, Gavle, Sweden;[4]Provence Guizhou Univ, Reliabil Engn Res Ctr Guizhou, Guiyang, Guizhou, Peoples R China;[5]Guizhou Inst Technol, Fac Informat Engn, Guiyang, Guizhou, Peoples R China

第一机构：贵州理工学院

通信机构：corresponding author), Guizhou Inst Technol, Fac Informat Engn, Guiyang, Guizhou, Peoples R China.|贵州理工学院;

会议论文集：10th International Conference on Reliability Maintainability and Safety

会议日期：AUG 06-08, 2014

会议地点：Chinese Institute of Electronics, Guangzhou, PEOPLES R CHINA

主办单位：Chinese Institute of Electronics

语种：英文

外文关键词：requries; classify; grey clustering

年份：2014

摘要：Requirements analysis is the most important phase of the software life cycle process. Some studies have shown the most faults of software are from the requirements phase. Therefore, the quality of Software Requirements Specification has become the key to project success, which correctness, consistency, no ambiguity of software requirements specification is more important. This paper presents a classification method based on natural language processing techniques and grey similar correlation. The first step of this method is that keywords refined from various functional requirements through segmentation of natural language processing, thus made up of heavy weight vector based on the weight of functional requirements, such a functional requirement corresponds to a weight vector. The second step is that the related technology of grey system is used to compute grey correlation coefficient between two weight vectors, in order to construct a correlation matrix. Finally, the appropriate statistical tools are used to classify functional requirements statements. The clustering results based on this method can provide work guidance for requirement analysts, software developers, software testers, software maintenance.