III: Small: Making and Tracing: Architecture-centric Information Integration

在许多科学领域中，信息分散在许多相互关联和异构的工件中。特别是在软件工程中，诸如需求、设计文档和代码之类的工件通常是由工具、开发小组和地理位置隔离的。当前的可追溯性方法？尝试链接相关信息？在跨异构工件的跟踪和支持用户自定义链接方面存在不足。该项目旨在跨越这些信息障碍，在相关工件之间创建可跟踪性链接，以支持诸如影响分析和软件维护之类的任务。这个项目的目标是自动化的以体系结构为中心的可跟踪性，它将链接集中在体系结构上，支持可伸缩和灵活的链接捕获。此外，涉众控制链接捕获，使他们能够直接从链接中受益。自动跟踪的流行方法是从现有工件中恢复链接。相反，这个项目追求跟踪链接的预期生成，它在原地捕获链接，同时生成或修改工件，支持上下文关系的捕获。开放的超媒体适配器支持跨异构工件捕获链接，并以不同粒度级别呈现资源。用户可以通过外部可定制的规则确定要跟踪的工件和要分配的链接语义。该方法适用于e-Science中的数据来源捕获。前瞻性捕获可以帮助推断实验设计，并捕获异构工件（如出版物、数据文件和绘图）之间的链接。结果也将是有价值的安全关键系统的发展，其中满足所有要求是安全保证的一部分。

In many scientific domains information is scattered across numerous interrelated and heterogeneous artifacts. In software engineering in particular, artifacts such as requirements, design documents, and code are often isolated by tools, development groups, and geographic locations. Current traceability approaches ? attempts to link related information ? fall short in tracing across heterogeneous artifacts and in supporting user-customized links. This project is aimed at crossing these information barriers, enabling the creation of traceability links between related artifacts, to support tasks such as impact analysis and software maintenance.This project targets automated architecture-centric traceability which centers links on the architecture, enabling scalable and flexible link capture. Furthermore, stakeholders control link capture, enabling them to directly benefit from the links. The prevalent approach to automatic traceability is to recover links from existing artifacts. In contrast, this project pursues prospective generation of trace links which captures links in situ, while artifacts are generated or modified, enabling the capture of contextual relationships. Open hypermedia adapters enable the capture of links across heterogeneous artifacts and the rendering of resources at different levels of granularity. Users can determine the artifacts to trace and the link semantics to assign via externally customizable rules.The approach is applicable to data provenance capture in e-Science. Prospective capture can aid in inferring experiment design and capturing links across heterogeneous artifacts like publications, data files, and plots. The results will also be valuable to the development of safety critical systems where satisfaction of all requirements is part of safety assurance.