Keyword Extraction From Users' Requirements Using TextRank and Frequency Analysis, and Their Classification into ISO/IEC 25000 Quality Categories

2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT) Pub Date : 2018-10-01 DOI:10.1109/CONISOFT.2018.8645870

Irma Patricia Delgado-Solano, Alberto S. Núñez-Varela, H. G. Pérez-González

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引用次数: 1

Abstract

Software requirements are essential for the correct development and planning of a software project. Each requirement is related to a software quality category, i.e. usability or maintainability, and their classification into these categories could greatly help the requirements analysis process. Requirements are usually expressed in natural language as written documents and many methods have been proposed for their automatic analysis and classification, based mainly on word frequency analysis. In this paper, a method for extracting keywords from users' written requirements using the TextRank technique and inverse frequency analysis is presented. These keywords represent relevant computing-related terms that can be mapped to a certain quality category which allows us to identify core terms that are of major relevance in the text of a given requirement. A total of 946 software requirements from six online datasets were analyzed and 390 keywords were extracted. The quality categories defined in the ISO/IEC 25000 standard will be used for keyword classification.

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基于TextRank和频率分析的用户需求关键字提取及ISO/IEC 25000质量分类

软件需求对于软件项目的正确开发和计划是必不可少的。每个需求都与软件质量类别相关，例如可用性或可维护性，并且将它们分类到这些类别中可以极大地帮助需求分析过程。需求通常以书面文档的形式用自然语言表达，人们提出了许多基于词频分析的需求自动分析和分类方法。本文提出了一种利用TextRank技术和逆频率分析从用户书面需求中提取关键词的方法。这些关键字表示与计算相关的术语，可以映射到特定的质量类别，这允许我们识别在给定需求的文本中主要相关的核心术语。从6个在线数据集中共分析了946个软件需求，提取了390个关键词。关键字分类将使用ISO/IEC 25000标准中定义的质量类别。

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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2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT)

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