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SHF: Large: CrowdProgramming

SHF：大型：众包编程

基本信息

批准号：
1414197
负责人：
Adriaan van der Hoek
金额：
$ 140.34万
依托单位：
University of California-Irvine
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-07-01 至 2019-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1414197&HistoricalAwards=false
关键词：
SHF Large CrowdProgramming

项目摘要

Crowdsourcing has had extraordinary success in solving a diverse set of problems, ranging from digitization of libraries and translation of the Internet, to scientific challenges such as classifying elements in the galaxy or determining the 3D shape of an enzyme. By leveraging the power of the masses, it is feasible to complete tasks in mere days and sometimes even hours, and to take on tasks that were previously impossible because of their sheer scale. This proposal addresses the question of whether the same kinds of successes that crowdsourcing is having in revolutionizing other domains can be brought to software development. As compared to crowdsourcing in other domains, however, software is particularly challenging to crowdsource: it is inherently non-uniform, steeped with dependencies, difficult to describe in terms of the functionality desired, and can be implemented in any number of ways. The fundamental question that we address in this research, then, is how the nature of software impacts what may and may not be possible in terms of crowdsourcing. Specific outcomes from this research will include: (1) theoretical understandings of crowd programming in terms of whether it can be achieved, in which form(s), under what conditions, and with which benefits and drawbacks, (2) a publicly available crowdsourcing platform, CrowdCode, that offers a tool set specifically designed to address the intricacies of crowd programming, and (3) lessons learned from our project that could well influence crowdsourcing research in other domains, as the broader crowdsourcing community is actively seeking to understand how to support more complex, interdependent tasks.

众包在解决各种问题方面取得了非凡的成功，从图书馆的数字化和互联网的翻译，到科学挑战，如对银河系中的元素进行分类或确定酶的3D形状。通过利用群众的力量，可以在短短几天甚至几小时内完成任务，并承担以前因其规模而无法完成的任务。这一提议解决了一个问题，即众包在其他领域的革命性成功是否可以带到软件开发中。然而，与其他领域的众包相比，软件对众包来说特别具有挑战性：它本质上是不统一的，充满了依赖性，难以用所需的功能来描述，并且可以以任何方式实现。因此，我们在这项研究中要解决的基本问题是，软件的性质如何影响众包中可能和不可能的内容。这项研究的具体成果将包括：（1）对人群编程的理论理解，包括是否可以实现，以何种形式，在何种条件下，以及有哪些好处和缺点，（2）一个公开的众包平台CrowdCode，它提供了一套专门设计用于解决人群编程复杂性的工具，以及（3）从我们的项目中吸取的经验教训，这些经验教训可能会很好地影响其他领域的众包研究，因为更广泛的众包社区正在积极寻求了解如何支持更复杂，相互依赖的任务。