Test Path Identification for Internet of Things using Transaction Based Specification

Mani Padmanabhan
{"title":"Test Path Identification for Internet of Things using Transaction Based Specification","authors":"Mani Padmanabhan","doi":"10.1109/ICCTCT.2018.8551084","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) is becoming a valuable strength for establishing various domains such as smart cities, smart homes, and smart factories, health care, transportation, disaster management, smart grid and smart cars in the current digital word. Interrelating different sensor and physical nodes are revealing them as a service is a complex which is even more challenging for effective software testing. IoT-based services vary from web services testing since they usually interact with the physical environment via sensor. The problem during the software testing of IoT physical and virtual nodes is how to apply Model-Based Testing (MBT) approaches for enabling scalable and efficient test results. This paper introduces a novel test path identification framework to facilitate functional evaluation of IoT. The quality software services has been enhanced through the verification and validation methodologies. The proposed path identification approach with regard to validate the IoT software services and experiments shows that the proposed approaches can enhance the effective path coverage for IoT software testing.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTCT.2018.8551084","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 Internet of Things (IoT) is becoming a valuable strength for establishing various domains such as smart cities, smart homes, and smart factories, health care, transportation, disaster management, smart grid and smart cars in the current digital word. Interrelating different sensor and physical nodes are revealing them as a service is a complex which is even more challenging for effective software testing. IoT-based services vary from web services testing since they usually interact with the physical environment via sensor. The problem during the software testing of IoT physical and virtual nodes is how to apply Model-Based Testing (MBT) approaches for enabling scalable and efficient test results. This paper introduces a novel test path identification framework to facilitate functional evaluation of IoT. The quality software services has been enhanced through the verification and validation methodologies. The proposed path identification approach with regard to validate the IoT software services and experiments shows that the proposed approaches can enhance the effective path coverage for IoT software testing.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于事务规范的物联网测试路径识别
物联网(IoT)正在成为当今数字世界中建立智能城市、智能家居、智能工厂、医疗保健、交通运输、灾害管理、智能电网和智能汽车等各个领域的宝贵力量。将不同的传感器和物理节点相互关联是一种复杂的服务,这对有效的软件测试来说更具挑战性。基于物联网的服务不同于web服务测试,因为它们通常通过传感器与物理环境进行交互。在物联网物理和虚拟节点的软件测试过程中,如何应用基于模型的测试(MBT)方法来实现可扩展和高效的测试结果是一个问题。本文介绍了一种新的测试路径识别框架,以促进物联网的功能评估。通过验证和确认方法,提高了软件服务的质量。本文提出的路径识别方法用于验证物联网软件服务,实验表明,该方法可以提高物联网软件测试的有效路径覆盖率。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Memristor-CMOS Analog Co-Processor for Acceleration of High Performance Computing Applications Electronic Device Games: An Implication on Academic Performance of Students in CST An Optimised BCD Digit Multiplier A Study on Transaction Specification based Software Testing for Internet of Things Comparative Study of Short-Term Wind Speed Forecasting Techniques Using Artificial Neural Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1