Method of Activity of Intelligent Agent for Semantic Analysis of Software Requirements

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI:10.1109/idaacs.2019.8924292

Olga Pavlova, T. Hovorushchenko, A. Boyarchuk

{"title":"Method of Activity of Intelligent Agent for Semantic Analysis of Software Requirements","authors":"Olga Pavlova, T. Hovorushchenko, A. Boyarchuk","doi":"10.1109/idaacs.2019.8924292","DOIUrl":null,"url":null,"abstract":"The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of the requirements, determines the number and percentage of missing indicators for determining the metrics of complexity and quality of software, displays which indicators are missing for each metric, and also forms the real ontology of the domain “Software Engineering” (part “Quality and complexity of software. Metric analysis”). During an experiment, which is conducted with the help of the realized IA, the semantic analysis of requirements for the Internet of Things (IoT)-system was performed. Such analysis provides an increase of the volume and ensures of the sufficiency of metric information in the software requirements, which, in turn, provides an improvement in the quality of the software of IoT-system.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"57 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/idaacs.2019.8924292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

The paper deals with the development of the method of activity and the realization of the intelligent agent (IA) for semantic analysis of the natural language software requirements. This IA performs the analysis of the requirements, determines the number and percentage of missing indicators for determining the metrics of complexity and quality of software, displays which indicators are missing for each metric, and also forms the real ontology of the domain “Software Engineering” (part “Quality and complexity of software. Metric analysis”). During an experiment, which is conducted with the help of the realized IA, the semantic analysis of requirements for the Internet of Things (IoT)-system was performed. Such analysis provides an increase of the volume and ensures of the sufficiency of metric information in the software requirements, which, in turn, provides an improvement in the quality of the software of IoT-system.

查看原文本刊更多论文

面向软件需求语义分析的智能代理活动方法

本文论述了自然语言软件需求语义分析的活动方法的发展和智能体的实现。此IA执行需求分析，确定用于确定软件复杂性和质量度量的缺失指标的数量和百分比，显示每个度量缺少哪些指标，并且还形成了“软件工程”领域(部分“软件的质量和复杂性”)的真正本体。指标分析”)。在实验中，利用实现的人工智能对物联网(IoT)系统的需求进行了语义分析。这样的分析增加了软件需求的体量，保证了度量信息的充分性，从而提高了物联网系统的软件质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

自引率

0.00%

发文量