One Size Does Not Fit All: An Empirical Study of Containerized Continuous Deployment Workflows
Continuous deployment (CD) is a software development practice aimed at automating delivery and deployment of a software product, following any changes to its code. If properly implemented, CD together with other automation in the development process can bring numerous benefits, including higher control and flexibility over release schedules, lower risks, fewer defects, and easier on-boarding of new developers. Here we focus on the (r)evolution in CD workflows caused by containerization, the virtualization technology that enables packaging an application together with all its dependencies and execution environment in a light-weight, self-contained unit, of which Docker has become the de-facto industry standard. There are many available choices for containerized CD workflows, some more appropriate than others for a given project. Owing to cross-listing of GitHub projects on Docker Hub, in this paper we report on a mixed-methods study to shed light on developers' experiences and expectations with containerized CD workflows. Starting from a survey, we explore the motivations, specific workflows, needs, and barriers with containerized CD. We find two prominent workflows, based on the automated builds feature on Docker Hub or continuous integration services, with different trade-offs. We then propose hypotheses and test them in a large-scale quantitative study.
Wed 7 NovDisplayed time zone: Guadalajara, Mexico City, Monterrey change
13:30 - 15:00 | Software Maintenance IResearch Papers / Journal-First at Horizons 10-11 Chair(s): Christian Bird Microsoft Research | ||
13:30 22mTalk | Use and Misuse of Continuous Integration Features: An Empirical Study of Projects that (mis)use Travis CI Journal-First DOI | ||
13:52 22mResearch paper | One Size Does Not Fit All: An Empirical Study of Containerized Continuous Deployment Workflows Research Papers Yang Zhang National University of Defense Technology, China, Bogdan Vasilescu Carnegie Mellon University, Huaimin Wang , Vladimir Filkov University of California at Davis, USA Pre-print | ||
14:15 22mTalk | Be Careful of When: An Empirical Study on Time-Related Misuse of Issue Tracking Data Research Papers Feifei Tu Peking University, China, Jiaxin Zhu Institute of Software at Chinese Academy of Sciences, China, Qimu Zheng Peking University, China, Minghui Zhou Peking University | ||
14:37 22mTalk | Do the Dependency Conflicts in My Project Matter? Research Papers Ying Wang Northeastern University, China, Ming Wen The Hong Kong University of Science and Technology, Zhenwei Liu Northeastern University, China, Rongxin Wu Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Rui Wang Northeastern University, China, Bo Yang Northeastern University, China, Hai Yu Northeastern University, China, Zhiliang Zhu Northeastern University, China, Shing-Chi Cheung Department of Computer Science and Engineering, The Hong Kong University of Science and Technology | ||