开源软件发布和政府使用的承诺和危险——来自GitHub和文献的证据

Gregor Eibl, Lörinc Thurnay
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摘要

摘要:开源软件(OSS)广泛应用于工业和政府部门,因为它允许对源代码的开放访问,并允许外部参与软件开发过程。在政府背景下,有几个因素推动了这一运动,使得很难评估采用的成功。通过对数十亿行GitHub活动数据的研究,本研究详细分析了德语国家行政部门对OSS的生产,并通过文献综述分析了采用OSS的激励因素和挑战。在其他国家也进行了类似的研究,使用不同的方法、重点和不同的方法来识别公共GitHub用户以及OSS项目的内部人员和外部人员。本文列出了使用和开发OSS的16个后果。在GitHub上,我们发现了1021个由公共机构运营的开源软件项目,这些项目主要是在讲德语的国家。然后,我们根据提交量和最活跃的公共机构编制了一份最受欢迎的项目列表。研究还发现了机器人的自动贡献,到目前为止,在文献中还没有考虑到这一点,并证明了提交、分叉和星星之间高度显著的正相关关系,作为这些项目受欢迎程度的代表。本研究介绍了一种识别开源平台中的政府组织的新方法,并阐明了公共部门发布和采用开源软件可能产生的积极和消极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The promises and perils of open source software release and usage by government – evidence from GitHub and literature
Abstract: Open Source Software (OSS) is extensively utilized in industry and government because it allows for open access to the source code and allows for external involvement in the software development process. There are several factors driving this movement in a government setting, making it difficult to assess the adoption's success. Through a study of billions of rows of GitHub activity data, this research analyzes the production of OSS by administrations in German-speaking countries in detail and analyses the motivating factors and challenges to OSS adoption through a literature review. Similar studies have been conducted in other nations, with somewhat different approaches, foci, and different ways to identify public GitHub users as well as insiders and outsiders of OSS projects. 16 consequences of OSS usage and development are listed in the paper. On GitHub, we found 1021 OSS projects run by public agencies in largly German-speaking nations. We then compiled a list of the most popular projects based on commits and the most active public agencies in terms of projects. The research also finds automatic contributions by bots, which have not been taken into account in the literature so far, and demonstrates highly substantial positive correlations between commits, forks, and stars as proxy for the popularity of these projects. This research introduces a new method for identifying government organizations in OSS platforms and illuminates the possible positive and negative effects of the public sector's release and adoption of open source software.
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