{"title":"Non-Functional Requirement Extraction by using Conceptual Graphs","authors":"Taweewat Luangwiriya, R. Kongkachandra","doi":"10.1109/JCSSE53117.2021.9493849","DOIUrl":null,"url":null,"abstract":"In software engineering process, the representation of non-functional requirements (NFR) is one of major problems during analysis and design phase. Since NFR is difficult to be understood and may be interfered, conflicted, or contradicted with other NFRs. In addition, many of NFRs relate to the same quality attribute which leads to be the requirement misunderstanding problem. This paper presents a knowledge representation method for extracting the NFRs using the conceptual graphs. The proposed method enhances the understanding of NFR. The case study of billing system in telecommunication company is discussed for a feasibility and an effectiveness of the proposed method.","PeriodicalId":437534,"journal":{"name":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 18th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE53117.2021.9493849","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
In software engineering process, the representation of non-functional requirements (NFR) is one of major problems during analysis and design phase. Since NFR is difficult to be understood and may be interfered, conflicted, or contradicted with other NFRs. In addition, many of NFRs relate to the same quality attribute which leads to be the requirement misunderstanding problem. This paper presents a knowledge representation method for extracting the NFRs using the conceptual graphs. The proposed method enhances the understanding of NFR. The case study of billing system in telecommunication company is discussed for a feasibility and an effectiveness of the proposed method.