A Timeline Optimization Approach of Green Requirement Engineering Framework for Efficient Categorized Natural Language Documents in Non-Functional Requirements

IF 0.5 Q4 BUSINESS

International Journal of Business Pub Date : 2021-01-01 DOI:10.4018/ijban.2021010102

K. Mahalakshmi, Udayakumar Allimuthu, L. Jayakumar, A. Dumka

引用次数: 2

Abstract

The system's functional requirements (FR) and non-functional requirements (NFR) are derived from the software requirements specification (SRS). The requirement specification is challenging in classification process of FR and NFR requirements. To overcome these issues, the work contains various significant contributions towards SRS, such as green requirements engineering (GRE), to achieve the natural language processing, requirement specification, extraction, classification, requirement specification, feature selection, and testing the quality attributes improvement of NFRs. In addition to this, the test pad-based quality study to determine accuracy, quality, and condition providence to the classification of non-functional requirements (NFR) is also carried out. The resulted classification accuracy was implemented in the MATLAB R2014; the resulted graphical record shows the efficient non-functional requirements (NFR) classification with green requirements engineering (GRE) framework.

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非功能需求中高效分类自然语言文档绿色需求工程框架的时间线优化方法

系统的功能需求(FR)和非功能需求(NFR)来源于软件需求规范(SRS)。在对FR和NFR需求进行分类的过程中，需求规范具有一定的挑战性。为了克服这些问题，本工作包含了对SRS的各种重要贡献，例如绿色需求工程(GRE)，以实现自然语言处理、需求规范、提取、分类、需求规范、特征选择和测试nfr的质量属性改进。除此之外，还进行了基于试验台的质量研究，以确定非功能需求分类(NFR)的准确性、质量和条件。在MATLAB R2014中实现了分类精度;结果显示了绿色需求工程(GRE)框架下有效的非功能需求(NFR)分类。

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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来源期刊

International Journal of Business BUSINESS-

CiteScore

0.70

自引率

0.00%

发文量

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