Supporting Information Integration in Large-Scale Software Development

支持大型软件开发中的信息集成

• 批准号: 9988517
• 负责人: Kenneth Anderson
• 金额: $ 19.84万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9988517&HistoricalAwards=false
• 关键词: Supporting; Information; Integration; Large; Scale

The amount of work required to keep software artifacts consistent contributes significantly to the time and costs of a software project. In particular, it is difficult to share and integrate information between artifacts due to the bewildering number of tools and data formats used to create and maintain them. This project performs basic research on the issue of information integration to enable development of techniques and mechanisms that reduce the time and costs associated with performing this task in large-scale software development projects. The chosen approach develops an environment that provides first-class support for information integration. New experimental XML-based data formats are designed to facilitate integration. An environment of generators and translators are designed and developed to translate information into the new data formats, making that information available for integration. New hypermedia services are developed to capture and specify artifact relationships. Finally, infrastructure for addressing these issues in heterogeneous software development environments, where multiple organizations may be involved in a software development project, are designed and experimentally prototyped.

保持软件构件一致性所需的工作量极大地影响了软件项目的时间和成本。特别是，由于用于创建和维护它们的工具和数据格式令人眼花缭乱，因此很难在构件之间共享和集成信息。该项目对信息集成问题进行基础研究，以使技术和机制的开发能够减少与在大型软件开发项目中执行这一任务相关的时间和成本。选择的方法开发了一个为信息集成提供一流支持的环境。新的试验性的基于XML的数据格式旨在促进集成。设计和开发了一个生成器和翻译器环境，以将信息转换为新的数据格式，使这些信息可用于集成。开发了新的超媒体服务来捕获和指定人工产物关系。最后，设计了在异类软件开发环境中解决这些问题的基础设施，其中可能有多个组织参与到一个软件开发项目中，并进行了实验原型。