Requirement Elicitation using Natural Language Processing

Sharoon Nasim, Zainab Zahid, Nosheen Sabahat
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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.
使用自然语言处理进行需求征询
本文是对提出并用于开发软件项目的情感需求工程技术进行研究的结果。我们已经评估了传统方法,并提出了一种方法,涵盖了产生成功项目的各个方面。设计了基于annlp的模型,该模型从用户那里获取输入,并在处理后以文本文档的形式输出。我们设定了62%的相似度指标来达到所需系统的最大要求。这些需求反过来帮助开发人员开发具有更多功能和生产力的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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