{"title":"Requirement Elicitation using Natural Language Processing","authors":"Sharoon Nasim, Zainab Zahid, Nosheen Sabahat","doi":"10.54692/lgurjcsit.2023.0701316","DOIUrl":null,"url":null,"abstract":"—This paper is the outcome of the research conductedto investigate the affective requirement engineering techniquesproposed and used for developing software projects. We haveassessed traditional methods and proposed an approach thatcovers various aspects for generating a successful project. AnNLP-based model is designed that takes input from the user andgives the output in the form of a text document after processingit. We have set a 62% similarity index to achieve the maximumrequirements of the required system. These requirements, inreturn, help the developers to develop the product with morefunctionality and productivity.","PeriodicalId":197260,"journal":{"name":"Lahore Garrison University Research Journal of Computer Science and Information Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lahore Garrison University Research Journal of Computer Science and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54692/lgurjcsit.2023.0701316","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
—This paper is the outcome of the research conductedto investigate the affective requirement engineering techniquesproposed and used for developing software projects. We haveassessed traditional methods and proposed an approach thatcovers various aspects for generating a successful project. AnNLP-based model is designed that takes input from the user andgives the output in the form of a text document after processingit. We have set a 62% similarity index to achieve the maximumrequirements of the required system. These requirements, inreturn, help the developers to develop the product with morefunctionality and productivity.