SoD: Collaborative Research: Flexible High Quality Design for Software Intensive Systems

SoD：协作研究：软件密集型系统的灵活高质量设计

• 批准号: 0438933
• 负责人: Victor Basili
• 金额: $ 85万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0438933&HistoricalAwards=false
• 关键词: SoD; Collaborative; Research; Flexible; Quality

ABSTRACT0438933PI: Victor R. Basili, Jeff CarverSoD: Flexible High Quality Design for Software Intensive SystemsResponding to late software changes is one of the key areas of risk in software development, but is often unavoidable. The major way to deal with the problem is during software design, making the architecture flexible, which is too often not achieved. This research addresses this problem by studying the relationship between changes and software architecture. The project involves the mining of existing change and defect datafrom our collaborators to formulate representative taxonomies of changes, and defects, and to understand how effective various QA strategies are for dealing with them, running of classroom studies to test specific hypotheses resulting from the data mining, and the analysis of the changes and defects encountered on industrial projects; recommendation of a suite of QA strategies for the expected defect profile; and controlled observation of the effectiveness of recommendations.The research will contribute to Science of Design by producing a model that allows software developers to reason about proposed changes and their impact on system quality; a method for evaluating technique composability; increased understanding of the relations between faults, changes and architecture; and increased understanding of the relationship between design process and the quality of the resulting product.

ABSTRACT0438933PI：Victor R.Basili，Jeff CarverSoD：软件密集型系统的灵活高质量设计响应后期软件更改是软件开发中的关键风险领域之一，但通常是不可避免的。处理问题的主要方法是在软件设计期间，使体系结构灵活，而这往往无法实现。本研究通过研究变更和软件体系结构之间的关系来解决这个问题。该项目涉及从我们的合作者那里挖掘现有的变更和缺陷数据，以制定变更和缺陷的代表性分类，并了解处理它们的各种QA策略的有效性，运行课堂研究以测试由数据挖掘产生的特定假设，并分析在工业项目中遇到的变更和缺陷；为预期的缺陷概况推荐一套QA策略；以及对建议的有效性进行受控观察。该研究将通过产生一个允许软件开发人员对所建议的变更及其对系统质量的影响进行推理的模型来为设计科学做出贡献；评估技术可组合性的方法；增加对故障、变更和架构之间的关系的理解；以及对设计过程和最终产品质量之间的关系的理解。