An Ontology-Based Infrastructure for Creating Software Pattern Languages

[摘要]scott Henninger - university Nebraska - lincoln题目：用于创建软件模式语言的基于本体的基础结构软件开发是一项涉及各种技术和应用领域的知识密集型活动。软件模式，即对反复出现的设计问题的描述，加上经过验证的解决方案，已经成为系统地收集和传播软件设计知识的一种手段。但是随着可用模式的数量激增，发现和有效使用模式所需的专业知识也在增加。当前的模式集合也不包含交叉引用，从而错过了捕获和分析模式中嵌入的知识之间的相互关系的重要机会。研究目标是调查模式“语言”的功效，即支持系统开发方法的紧密耦合的模式组织。将研究语义Web技术，将模式集合联合到支持语义模式关系和计算推理的基于Web的本体中。研究工作将经验性地调查现有的软件模式集合，开发基于本体的模式语言的概念验证演示，并支持模式语言的协作创建和细化。这项研究的意义在于解决使用模式来获得显著的质量和生产力收益的基本和难以捉摸的困难。此外，模式之间的语义关系将有助于组织和细化软件开发知识。更广泛的影响包括基于web的对联邦模式语言的访问，为未来的模式语言研究创建构建块，以及将研究结果用于教学目的。

Abstract0639164Scott Henninger - Univ Nebraska - LincolnTitle: An Ontology-Based Infrastructure for Creating Software Pattern LanguagesSoftware development is a knowledge intensive activity involving diverse technical and application domains. Software patterns, descriptions of recurring design problems coupled with proven solutions, have emerged as one means to systematically collect and disseminate software design knowledge. But as the number of available patterns proliferates, the expertise needed to find and effectively use patterns increases. Current pattern collections also contain no cross-references, missing important opportunities to capture and analyze interrelationships between knowledge embedded in patterns. The research objective is to investigate the efficacy of pattern "languages", tightly coupled organizations of patterns supporting systematic development methodologies. Semantic Web technologies will be investigated to federate pattern collections into Web-based ontologies supporting semantic pattern relationships and computational reasoning. Research efforts will empirically investigate existing software pattern collections, develop proof-of-concept demonstrations of ontology-based pattern languages, and support collaborative creation and refinement of pattern languages. The significance of this research is to address essential and elusive difficulties of using patterns to achieve significant quality and productivity gains. In addition, semantic relationships between patterns will help organize and refine software development knowledge. Broader impacts include Web-based access to federated pattern languages, creating building blocks for future pattern language research, and using research results for pedagogical purposes.