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HCC: Large: Collaborative Research: Large-Scale Human-Centered Coordination Systems to Support Interdependent Tasks in Context

HCC：大型：协作研究：大规模以人为中心的协调系统，支持上下文中相互依赖的任务

基本信息

批准号：
1111750
负责人：
James Herbsleb
金额：
$ 72.58万
依托单位：
Carnegie-Mellon University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-09-01 至 2014-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1111750&HistoricalAwards=false
关键词：
HCC Large Collaborative Research Scale

项目摘要

In the face of the vast scale of software-intensive systems needed today, modern development environments fail dramatically, typically leading to information overload, an inability to deal with the highly dynamic nature of both the systems and the organizations that develop them, and failure to support collaboration across organizational boundaries. The overarching aim of this project is to provide a scientific foundation for human-centered environments that make large-scale and distributed project awareness, communication, and coordination as effortless as in a small team. It accomplishes this by (a) performing empirical studies of real-world large-scale high-complexity software projects to understand how task coordination occurs in and contributes to organizational context, (b) developing an underlying theory of coordination in context, which will motivate and guide (c) the design of new coordination technology that explicitly addresses information overload, dynamism, and organizational boundaries. Intellectual merit: The research will result in four contributions: (a) a sound theoretical basis that captures how task coordination and organizational context interplay at scale; (b) theory-driven empirical studies of in-context coordination; (c) knowledge about how to achieve improvements in productivity, quality, and development speed; and (d) a suite of design principles, tool prototypes, and interaction techniques for collaboration at a very large scale. These outcomes will transform the landscape of coordination technology by squarely addressing the issue of scale, moving from coordination within a team to coordination across many developers, across many teams, and across multiple geographical and organizational boundaries.Broader Impacts: As society enters the era of "ultra large scale" software-intensive systems, coordination at such scales is a major unsolved problem, persistently hampering development and advances in vital domains such as healthcare, security, defense, eGovernment, and energy. The outcomes of this project will not only provide major economic benefits, but also major societal benefits in the form of the new systems that now can be developed. Through close collaboration with industry partners, the results will quickly find their way into practice. The project will also increase involvement of women in computer science through workshops and mentoring activities.

面对当今所需的大规模软件密集型系统，现代开发环境严重失败，通常导致信息过载，无法处理系统和开发它们的组织的高度动态特性，以及无法支持跨组织边界的协作。该项目的首要目标是为以人为中心的环境提供科学基础，使大规模和分布式项目的意识，沟通和协调与小团队一样轻松。它通过以下方式实现这一点：（a）对现实世界中的大型高复杂性软件项目进行实证研究，以了解任务协调如何在组织环境中发生并对组织环境做出贡献;（B）开发环境中协调的基本理论，这将激励和指导（c）设计新的协调技术，明确解决信息过载，动态和组织边界问题。智力优点：本研究将产生四个贡献：（a）一个良好的理论基础，捕捉如何任务协调和组织环境的相互作用在规模上;（B）理论驱动的实证研究的背景下的协调;（c）知识，如何实现生产力，质量和开发速度的提高;以及（d）一套设计原则、工具原型和用于大规模协作的交互技术。这些成果将通过正视规模问题，从团队内部的协调转变为跨多个开发人员、跨多个团队以及跨多个地理和组织边界的协调，从而改变协调技术的格局。随着社会进入“超大规模”软件密集型系统的时代，这种规模的协调是一个尚未解决的主要问题，持续阻碍医疗保健、安全、国防、电子政务和能源等重要领域的发展和进步。该项目的成果不仅将提供重大的经济效益，而且还将以现在可以开发的新系统的形式提供重大的社会效益。通过与行业合作伙伴的密切合作，这些成果将很快付诸实践。该项目还将通过研讨会和指导活动增加女性对计算机科学的参与。