Implementation of Semantic Textual Similarity between Requirement Specification and Use Case Description Using WUP Method (Case Study: Sipjabs Application)

Elsa Jelista Sari, Y. Priyadi, Rosa Reska Riskiana
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引用次数: 5

Abstract

The SRS used in this study is an application called “Sipjabs”. This application processes data regarding the position of human resources to meet the needs of a company. This research aims to implement semantic textual similarity in software requirements specification through functional requirements with use case diagrams using the Wu Palmer (WUP) method in finding semantics. This research method is presented in a flow chart consisting of three main activities: research object analysis, semantic textual similarity, and validity and reliability testing. In this research, an extraction process for the Requirement Specification has been produced, divided into five documents: FR01, FR02, FR03, FR04, FR05. Then the steps performed in the use case description are divided into UD01, UD02, UD03, UD04, UD05. The highest similarity value is found in documents UD03 and FR03, where the number of similarities is 0.626640. In addition, the highest score of the sentence that has been calculated using the Wu Palmer concept is 0.8000, which is found in the words “page” and “user”. The highest kappa value with Gwet's AC1 formula is 0.02547770700636931, which means “Fair Agreement”. For the results of the calculation of the questionnaire filled in by the expert, namely 0.82022, which means “Almost Perfect”.
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使用WUP方法实现需求说明和用例描述之间的语义文本相似性(案例研究:sipjab应用程序)
本研究中使用的SRS是一款名为“sipjab”的应用程序。此应用程序处理有关人力资源职位的数据,以满足公司的需求。本研究旨在利用WUP (Wu Palmer)方法寻找语义,通过功能需求与用例图实现软件需求规范中的语义文本相似性。该研究方法以流程图的形式呈现,包括三个主要活动:研究对象分析、语义文本相似度和效度和信度检验。在本研究中,产生了需求说明书的提取过程,分为五个文件:FR01、FR02、FR03、FR04、FR05。然后将用例描述中执行的步骤划分为UD01、UD02、UD03、UD04、UD05。文档UD03和FR03相似度最高,相似度为0.626640。此外,使用Wu Palmer概念计算出的句子的最高分为0.8000,出现在“page”和“user”这两个词中。Gwet的AC1公式kappa值最高为0.02547770700636931,即“公平协议”。对于专家填写的问卷的计算结果,即0.82022,代表“几乎完美”。
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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