{"title":"Design and Implementation of a Business Domain Requirement Collection System","authors":"Binbin Fan, Fengzeng Liu, Yuzhao Huang","doi":"10.1109/ICCEAI52939.2021.00015","DOIUrl":null,"url":null,"abstract":"With the normalization of requirement collection in the field of information and communication business, it is found that it is difficult to collect and manage requirement. In order to solve this problem, this paper analyzes the requirements of the collection system, designs the system architecture and functional modules, realizes the requirement collection system based on B / S architecture, and focuses on standardizing the requirement collection template and requirement data management, so as to improve the quality and efficiency of requirement collection as a whole.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI52939.2021.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the normalization of requirement collection in the field of information and communication business, it is found that it is difficult to collect and manage requirement. In order to solve this problem, this paper analyzes the requirements of the collection system, designs the system architecture and functional modules, realizes the requirement collection system based on B / S architecture, and focuses on standardizing the requirement collection template and requirement data management, so as to improve the quality and efficiency of requirement collection as a whole.