| 摘要: |
| DevOps作为一次软件工程领域的变革，近10年迅速发展的原因是多方面的.关注了中国DevOps的发展历程中自动化工具带来的实际影响以及自动化工具产生的一系列问题.使用系统化文献评价获取了目前DevOps实践中被研究者分析最多的自动化支持工具，从50篇文献中识别出包括Docker、Chef、Jenkins和Puppet等69个自动化工具；然后通过灰色文献评价从一些中文博客文章中分析出自动化工具在中国DevOps实践中出现的3个层次的问题；最后通过民族志访谈方法分析了在中国环境下各方对待3个层次问题的看法和建议，得出自动化工具对中国DevOps实践的两个影响：（1）自动化工具在DevOps实践的前期作用明显，可以认为DevOps实践就是使用自动化工具；（2）软件组织实现DevOps转型以后需要减少对自动化工具的依赖，形成自己的DevOps文化.对于自动化工具在中国DevOps实践中产生的问题，整合访谈内容后形成了解决问题的3个建议，并给出了一个转型范例. |
| 关键词: DevOps 自动化工具 经验研究 民族志 访谈 |
| DOI：10.13328/j.cnki.jos.005788 |
| 分类号: |
| 基金项目:国家自然科学基金（61572251）；南京大学计算机软件新技术国家重点实验室开放课题（KFKT2017A13） |
|
| Practical Impacts of Automation Tools in Support of DevOps in China |
|
HUANG Huang1, ZHANG He1,2, SHAO Dong1,2
|
|
1.Software Institute, Nanjing University, Nanjing 210093, China;2.State Key Laboratory for Novel Software Technology(Nanjing University), Nanjing 210023, China
|
| Abstract: |
| As a revolution in software engineering, there are many reasons for the rapid development of DevOps in the past ten years. This study focuses on the practical impact of automation tools in the Chinese DevOps practice and a series of problems arising from automation tools. Systematic Literature Review (SLR) is used to identify the most popular tools, and finally 69 automation tools are identified from 50 researches, including Docker, Chef, Jenkins, and Puppet. Three levels of problems of automation tools in DevOps are summarized from some Chinese blogs using Gray Literature Review (GRL). Finally, ethnographic interview is used to analyze the opinions and suggestions from three aspects of DevOps practice in China, obtaining two effects of the automation tools:1) the role of automation tools in the DevOps practice is obvious at the beginning, and DevOps practice is considered using automation tools; 2) software organizations need to reduce the dependence on automation tools and form their own culture of DevOps. To solve the problems of automation tools in Chinese DevOps practice, this paper summarizes three suggestions from the interview and gives a paradigm. |
| Key words: DevOps automation tool empirical study ethnography interview |
