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}
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.