{"title":"基于集群的并行软件测试系统的设计与实现","authors":"Jovan Milojković, V. Ciric, D. Rancic","doi":"10.1109/ZINC50678.2020.9161436","DOIUrl":null,"url":null,"abstract":"In a new era of technology, reducing process execution time using multiple hardware components is a trend. In order to reduce cycle time in software delivery smarter deployment pipeline strategies should be considered, as well as parallel builds and parallel testing strategies. In this paper we propose a system that parallelizes software testing within the deployment pipeline. The proposed system increases hardware used for the process execution and reduces time needed for testing of a developed software product. Docker will be used for the system implementation. Parallelization will be achieved at process and container levels. Furthermore, in this paper we show how parallelization using containers and processes affects time needed for test execution of a developed software product.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"100 1","pages":"276-279"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design and Implementation of Cluster Based Parallel System for Software Testing\",\"authors\":\"Jovan Milojković, V. Ciric, D. Rancic\",\"doi\":\"10.1109/ZINC50678.2020.9161436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a new era of technology, reducing process execution time using multiple hardware components is a trend. In order to reduce cycle time in software delivery smarter deployment pipeline strategies should be considered, as well as parallel builds and parallel testing strategies. In this paper we propose a system that parallelizes software testing within the deployment pipeline. The proposed system increases hardware used for the process execution and reduces time needed for testing of a developed software product. Docker will be used for the system implementation. Parallelization will be achieved at process and container levels. Furthermore, in this paper we show how parallelization using containers and processes affects time needed for test execution of a developed software product.\",\"PeriodicalId\":6731,\"journal\":{\"name\":\"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"volume\":\"100 1\",\"pages\":\"276-279\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ZINC50678.2020.9161436\",\"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/ZINC50678.2020.9161436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of Cluster Based Parallel System for Software Testing
In a new era of technology, reducing process execution time using multiple hardware components is a trend. In order to reduce cycle time in software delivery smarter deployment pipeline strategies should be considered, as well as parallel builds and parallel testing strategies. In this paper we propose a system that parallelizes software testing within the deployment pipeline. The proposed system increases hardware used for the process execution and reduces time needed for testing of a developed software product. Docker will be used for the system implementation. Parallelization will be achieved at process and container levels. Furthermore, in this paper we show how parallelization using containers and processes affects time needed for test execution of a developed software product.