为ADAS生成自动测试和文档的图形环境

Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic
{"title":"为ADAS生成自动测试和文档的图形环境","authors":"Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic","doi":"10.1109/ZINC50678.2020.9161442","DOIUrl":null,"url":null,"abstract":"Advanced driver-assistance systems (ADAS) are primarily intended to help drivers in traffic and to increase driving safety. Today a large number of engineers are developing different algorithms for ADAS. This results in large quantity of written program codes on a daily basis, which has to be tested. Note that a manual testing and writing a code for the manual testing is an arduous task. To satisfy the increasing testing needs, and to accelerate the testing process, we developed a graphical environment that allows users to create automated tests quickly and efficiently by a simple drag and drop method. The environment was created using a Node.js server, MongoDB and Blockly. Blockly was used to create blocks and to combine blocks to make scripts, i.e., automated tests for ADAS. Node.js was used to save blocks into the MongoDB database and to load existing blocks into the environment. The environment enables users to use existing blocks to create Python scripts and their own blocks which can be used to create Python scripts, and to edit or remove existing blocks. The environment was tested manually. Testing results showed that all functionalities work properly and that the environment enables users to generate different scripts for automated testing in an order of seconds.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"63 1","pages":"301-306"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Graphic Environment for Generating Automated Tests and Documentation for ADAS\",\"authors\":\"Dominik Birtić, M. Vranješ, Ž. Lukač, Gordana S. Velikic\",\"doi\":\"10.1109/ZINC50678.2020.9161442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Advanced driver-assistance systems (ADAS) are primarily intended to help drivers in traffic and to increase driving safety. Today a large number of engineers are developing different algorithms for ADAS. This results in large quantity of written program codes on a daily basis, which has to be tested. Note that a manual testing and writing a code for the manual testing is an arduous task. To satisfy the increasing testing needs, and to accelerate the testing process, we developed a graphical environment that allows users to create automated tests quickly and efficiently by a simple drag and drop method. The environment was created using a Node.js server, MongoDB and Blockly. Blockly was used to create blocks and to combine blocks to make scripts, i.e., automated tests for ADAS. Node.js was used to save blocks into the MongoDB database and to load existing blocks into the environment. The environment enables users to use existing blocks to create Python scripts and their own blocks which can be used to create Python scripts, and to edit or remove existing blocks. The environment was tested manually. Testing results showed that all functionalities work properly and that the environment enables users to generate different scripts for automated testing in an order of seconds.\",\"PeriodicalId\":6731,\"journal\":{\"name\":\"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"volume\":\"63 1\",\"pages\":\"301-306\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ZINC50678.2020.9161442\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC50678.2020.9161442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

先进的驾驶辅助系统(ADAS)主要是为了帮助司机在交通和提高驾驶安全。今天,大量的工程师正在为ADAS开发不同的算法。这导致每天都要编写大量的程序代码,这些代码必须进行测试。请注意,手动测试和为手动测试编写代码是一项艰巨的任务。为了满足不断增长的测试需求,并加速测试过程,我们开发了一个图形化环境,允许用户通过简单的拖放方法快速有效地创建自动化测试。该环境是使用Node.js服务器、MongoDB和Blockly创建的。Blockly用于创建块并将块组合成脚本,即ADAS的自动化测试。Node.js用于将块保存到MongoDB数据库中,并将现有块加载到环境中。该环境使用户可以使用现有的块来创建Python脚本,并可以使用自己的块来创建Python脚本,并编辑或删除现有的块。环境是手动测试的。测试结果表明,所有功能都能正常工作,并且该环境使用户能够在几秒钟内为自动测试生成不同的脚本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graphic Environment for Generating Automated Tests and Documentation for ADAS
Advanced driver-assistance systems (ADAS) are primarily intended to help drivers in traffic and to increase driving safety. Today a large number of engineers are developing different algorithms for ADAS. This results in large quantity of written program codes on a daily basis, which has to be tested. Note that a manual testing and writing a code for the manual testing is an arduous task. To satisfy the increasing testing needs, and to accelerate the testing process, we developed a graphical environment that allows users to create automated tests quickly and efficiently by a simple drag and drop method. The environment was created using a Node.js server, MongoDB and Blockly. Blockly was used to create blocks and to combine blocks to make scripts, i.e., automated tests for ADAS. Node.js was used to save blocks into the MongoDB database and to load existing blocks into the environment. The environment enables users to use existing blocks to create Python scripts and their own blocks which can be used to create Python scripts, and to edit or remove existing blocks. The environment was tested manually. Testing results showed that all functionalities work properly and that the environment enables users to generate different scripts for automated testing in an order of seconds.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信