CHS: Medium: Collaborative Research: SDI-CPR: Sustaining Digital Infrastructure as a Common Pool Resource
CHS: Medium: Collaborative Research: SDI-CPR: Sustaining Digital Infrastructure as a Common Pool Resource
批准号:
1901102
负责人:
Audris Mockus
金额:
$39.98万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30
中文摘要
这项研究将为评估、监测和发出关键开源软件基础设施状况的信号提供强有力的科学基础,以提高其可持续性。 作为一个社会,我们越来越依赖开源数字基础设施来实现互联网连接以及经济各个部门的产品和服务。如果我们要避免安全漏洞或数据丢失故障造成的灾难,并为软件产品的开发提供可预测的稳定基础,我们就必须开发有效的方法来监测这一基础设施的状态,并找到可行的方法来确保其持续支持。长期以来,人们一直认为,共同拥有的资源注定会严重投资不足,因为个体理性但集体破坏性的“公地悲剧”行为,即资源被过度使用,供应不足和耗尽。与理论预测的和世界上发生的许多灾难相反,也存在着成功维持共同拥有的资源的现有社区。这项研究将确定基础设施,并提供信号,使志愿者和公司能够采取有效行动,同时向潜在的资助者展示他们最需要的地方。概念上的出发点是共同资源框架-关于如何有效管理共同拥有的资源以避免枯竭的经济原则。这个框架将被用作一个透镜,以了解如何可持续地使用开源维护工作。这一综合研究计划将:(1)对几乎所有的开源知识库进行普查,以确定广泛依赖的网络和基础设施;(2)开发衡量标准和预测模型,以表明维护基础设施所需的努力何时何地短缺;(3)对开源生态系统进行混合方法研究,重点关注影响基础设施可持续性的实践、规范、规则和行动;(4)设计、开发和部署有限规模的监控能力,以向参与者发出基础设施状态信号;(5)部署建模服务,使支持者和用户能够预测使用或支持项目的涟漪反应;(6)评估监控和信号部署对可持续性实践的影响。该项目将做出五个关键的研究贡献:(1)将CPR框架扩展到数字领域,在那里它受到规模,资源差异化的挑战(熟练的努力),并通过将资源嵌入网络依赖关系;(2)开发算法,用于识别基础设施及其与依赖于它的生态系统的连接;(3)通过揭露脆弱性和严重缺乏资源,为更好的决策提供基础;(4)揭示各种规范、规则和管理基础设施工作的实践,以及它们如何受到基础设施状态信号的影响。该奖项反映了NSF的法定使命,通过使用基金会的知识价值和更广泛的影响审查标准进行评估,认为值得支持。
英文摘要
This research will provide a strong scientific basis for assessing, monitoring, and signaling the condition of critical open source software infrastructure with the aim of enhancing its sustainability. As a society, we rely increasingly on open source digital infrastructure for Internet connectivity and for products and services in every sector of the economy. It is crucial that we develop effective ways of monitoring the state of this infrastructure and find viable ways to ensure its continued support if we are to avoid disasters caused by security bugs or data-loss glitches, and to provide a predictable, stable foundation for the development of software products. It was long thought that jointly held resources were doomed to serious underinvestment because of the individually rational yet collectively destructive "tragedy of the commons" behavior, where resources are overused, under provisioned, and depleted. Running counter to the many disasters, predicted by theory and played out in the world, there are also existing communities that successfully sustain jointly held resources. This research will identify infrastructure and provide signals that will enable volunteers and companies to take effective action, also showing potential funders where they are most needed. The conceptual starting point is the framework of common pool resources (CPR) - economic principles governing how resources that are jointly held can be managed effectively in order to avoid depletion. This framework will be used as a lens to understand how open source maintenance effort can be used sustainably. This integrated program of research will: (1) conduct and use a census of virtually all open source repositories to identify networks and infrastructure widely relied upon; (2) develop measures and predictive models indicating when and where the effort needed to maintain the infrastructure is in short supply; (3) conduct mixed-method studies of open source ecosystems focused on practices, norms, rules, and actions influencing infrastructure sustainability; (4) design, develop, and deploy at limited scale a monitoring capability to signal infrastructure status to participants; (5) deploy a modeling service that will allow supporters and users to predict the ripple effects of using or supporting projects; and (6) assess the impact of the monitoring and signaling deployment on sustainability practices. The project will make five key research contributions: (1) extend the CPR framework into the digital realm, where it is challenged by scale, by the differentiation of the resource (skilled effort), and by the embedding of the resource in network dependencies; (2) develop algorithms for identifying infrastructure and its connections to the ecosystem depending on it; (3) provide a foundation for better decision-making by exposing fragility and critical lack of resources; and (4) bring to light the variety of norms, rules, and practices for managing infrastructure effort and how they are impacted by signals of infrastructure status.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI:
10.1007/s10664-019-09791-w
发表时间:
2020-02-19
期刊:
EMPIRICAL SOFTWARE ENGINEERING
影响因子:
4.1
作者:
[Dey, Tapajit, Mockus, Audris]
通讯作者:
Mockus, Audris
A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits
基于共享提交的社区检测方法识别出的一整套相关Git存储库
DOI:
--
发表时间:
2020
期刊:
IEEE Working Conference on Mining Software Repositories
影响因子:
--
作者:
[A. Mockus, D. Spinellis, Zoe Kotti, G. J. Dusing]
通讯作者:
G. J. Dusing
A Dataset for GitHub Repository Deduplication: Extended Description
GitHub 存储库重复数据删除数据集:扩展描述
DOI:
--
发表时间:
2020
期刊:
IEEE International Working Conference on Mining Software Repositories
影响因子:
--
作者:
[Spinellis, Diomidis, Kotti, Zoe, Mockus, Audris]
通讯作者:
Mockus, Audris
The Secret Life of Hackathon Code Where does it come from and where does it go?
黑客马拉松的秘密生活 代码从哪里来又到哪里去?
DOI:
10.1109/msr52588.2021.00020
发表时间:
2021
期刊:
Mining Software Repositories
影响因子:
--
作者:
[Imam, Ahmed, Dey, Tapajit, Nolte, Alexander, Mockus, Audris, Herbsleb, James D.]
通讯作者:
Herbsleb, James D.
A Methodology for Analyzing Uptake of Software Technologies Among Developers
分析开发人员对软件技术的采用情况的方法
DOI:
10.1109/tse.2020.2993758
发表时间:
2020
期刊:
IEEE transactions on software engineering
影响因子:
7.4
作者:
[Mockus, A, Zaretzki, R, Bichescu, B, Bradley, R]
通讯作者:
Bradley, R
共 15 条
Collaborative Research: CCRI: New: World Of Code (WoC): The development of curated code resource to support research in software engineering
-
批准号:2120429
-
项目类别:Standard Grant
-
资助金额:$50.4万
-
财政年份:2021
-
负责人:Audris Mockus
-
依托单位:
CCRI: Collaborative Research: Planning for World Of Code (WoC): An Infrastructure for Open Source Software Census
-
批准号:1925615
-
项目类别:Standard Grant
-
资助金额:$6.61万
-
财政年份:2019
-
负责人:Audris Mockus
-
依托单位:
BIGDATA: Collaborative Research: IA: OSCAR - Open Source Supply Chains and Avoidance of Risk: An Evidence Based Approach to Improve FLOSS Supply Chains
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批准号:1633437
-
项目类别:Standard Grant
-
资助金额:$130.0万
-
财政年份:2016
-
负责人:Audris Mockus
-
依托单位:
海外基金