{"title":"A New Approach for End to End Automation Testing Platform with Cloud Computing for 5G Product","authors":"Suqiong Zhang, Dongyi Fan, Jun He, P. Zhang","doi":"10.1109/ICCEA53728.2021.00070","DOIUrl":null,"url":null,"abstract":"Fast development, fast integration, fast delivery is extremely critical for any organizations. It is essential to develop end to end automation platform for quick delivery of software features in the entire software lifecycle management. Developing one platform can help to reduce the separation between developer, tester and operators which including continuous integration, continuous testing and continuous delivery. In addition, it will reduce the software development lifecycle, delivery frequent and high quality software versions in automated way. Meanwhile, moving the platform to cloud will speed up the platform deployment and enhance the portability. Besides, it promote the process more and more agile at software development and operations.This paper presents an entire automated pipeline, trigger from source code change by developers, create resource from data center to deploy the containerized testing framework. It follows the best practice of DevOps and base on Jenkins for Cl stage. The innovation here is we use the resource from data center which is a private cloud resource, thus it fully support the scalability and overall ease of use.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Application (ICCEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA53728.2021.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Fast development, fast integration, fast delivery is extremely critical for any organizations. It is essential to develop end to end automation platform for quick delivery of software features in the entire software lifecycle management. Developing one platform can help to reduce the separation between developer, tester and operators which including continuous integration, continuous testing and continuous delivery. In addition, it will reduce the software development lifecycle, delivery frequent and high quality software versions in automated way. Meanwhile, moving the platform to cloud will speed up the platform deployment and enhance the portability. Besides, it promote the process more and more agile at software development and operations.This paper presents an entire automated pipeline, trigger from source code change by developers, create resource from data center to deploy the containerized testing framework. It follows the best practice of DevOps and base on Jenkins for Cl stage. The innovation here is we use the resource from data center which is a private cloud resource, thus it fully support the scalability and overall ease of use.
快速开发、快速集成、快速交付对任何组织都至关重要。在整个软件生命周期管理中,为了快速交付软件特性,开发端到端自动化平台是必不可少的。开发一个平台可以帮助减少开发人员、测试人员和操作人员之间的分离,包括持续集成、持续测试和持续交付。此外,它将减少软件开发生命周期,以自动化的方式交付频繁和高质量的软件版本。同时,将平台迁移到云端将加快平台部署速度,增强可移植性。此外,它还促进了软件开发和运维过程的越来越敏捷。本文提出了一个完整的自动化管道,由开发人员从源代码更改触发,从数据中心创建资源来部署容器化测试框架。它遵循DevOps的最佳实践,并基于Jenkins for Cl阶段。这里的创新之处在于我们使用了来自数据中心的私有云资源,因此它完全支持可扩展性和整体易用性。