Collaborative decision making in software engineering over distance

软件工程中的远程协作决策

• 批准号: 401453-2010
• 负责人: Lyons, Kelly
• 金额: $ 3.98万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=498628
• 关键词: Collaborative; decision; making; software; engineering

In this project we will investigate tools and mechanisms to support decision-making in software engineering over distance. In the past decade, software development teams are more frequently distributed geographically and engaged in cross-site development efforts. At the same time, software is becoming increasingly complex requiring difficult and mult-faceted decisions to be made at each phase of the software development cycle. Because of the geographic distribution of decision makers and information sources (including human sources) required to make decisions, we must rely increasingly on tools and technology to support the decision makers and decision making processes. These tools must be able to provide access to information needed in decision making but also must provide collaborative environments for multiperson interactions that are required in complex decision making processes over distance. In this project, we will investigate how social computing technologies and their collaborative capabilities can be used to influence the design of platforms and tools to improve outcomes in collaborative decision making in software engineering over distance. We will also study how techniques currently used for decision making in business intelligence environments can apply in software engineering domains.

在这个项目中，我们将研究工具和机制，以支持决策在软件工程的距离。 在过去的十年中，软件开发团队更频繁地分布在不同的地理位置，并从事跨站点的开发工作。 与此同时，软件变得越来越复杂，需要在软件开发周期的每个阶段做出困难和多方面的决策。 由于决策者和决策所需的信息来源（包括人力资源）的地理分布，我们必须越来越多地依赖工具和技术来支持决策者和决策过程。 这些工具必须能够提供对决策所需信息的访问，但也必须为远距离复杂决策过程所需的多人交互提供协作环境。 在这个项目中，我们将研究如何社会计算技术及其协作能力可以用来影响平台和工具的设计，以提高在软件工程的协作决策的结果在距离。 我们还将研究目前用于商业智能环境中决策的技术如何应用于软件工程领域。