Infrastructure and Tools for Distributed Collaborative Software Engineering

分布式协作软件工程的基础设施和工具

• 批准号: 9408708
• 负责人: John Riedl
• 金额: $ 18.39万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-10-01 至 1998-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9408708&HistoricalAwards=false
• 关键词: Infrastructure; Tools; Distributed; Collaborative; Software

This research covers two closely related areas of collaboration technology: collaborative tools and infrastructures. In the area of collaborative tools, it is addressing the potential of these tools for making distributed collaborative software engineering tasks more concurrent, thereby allowing these time-consuming tasks to be completed significantly more quickly. In the area of collaborative infrastructures, it is addressing support for nearautomatic generation of efficient, collaborative tools, thereby significantly reducing the tremendous amount of effort required to program these tools manually. These two efforts are related since the infrastructure is being used to build the tools and the tools are being used to evaluate the infrastructure. Some of the specific issues being addressed include security, consistency, computer support for gathering software engineering requirements, and asynchronous software engineering meetings. The research is using an experimental method wherein the infrastructure and tools are being implemented and used in case studies. The research results will include: taxonomies of collaboration scenarios; principles, interaction models, software abstractions, and architectures that support these scenarios; and evaluation of the infrastructure and tools being developed.

本研究涵盖了协作技术的两个密切相关的领域：协作工具和基础设施。在协作工具领域，它正在解决这些工具的潜力，使分布式协作软件工程任务更加并发，从而使这些耗时的任务能够更快地完成。在协作基础设施领域，它正在处理对高效协作工具的近乎自动生成的支持，从而显著地减少了手动编程这些工具所需的大量工作。这两项工作是相关的，因为基础设施被用于构建工具，而工具被用于评估基础设施。正在处理的一些具体问题包括安全性、一致性、收集软件工程需求的计算机支持，以及异步软件工程会议。该研究使用实验方法，其中基础设施和工具正在实施并用于案例研究。研究结果将包括：协作场景的分类；支持这些场景的原则、交互模型、软件抽象和体系结构；以及正在开发的基础设施和工具的评估。