SRS-CCF: Supporting Software Evolution by the Combined Analysis of Textual and Structural Information

SRS-CCF：通过文本和结构信息的组合分析支持软件演进

• 批准号: 0820133
• 负责人: Andrian Marcus
• 金额: $ 35万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0820133&HistoricalAwards=false
• 关键词: SRS; CCF; Supporting; Software; Evolution

Proposal 0820133Title: Supporting Software Evolution by the Combined Analysis of Textual and Structural InformationPIs: Andrian Marcus and Vaclav Rajlich, Wayne State UniversitySoftware evolution is a demanding stage of the software lifecycle as it requires extensive knowledge about the application domain and about all the artifacts that have been produced. This includes knowledge about the software components and their dependencies which can be extracted from compiler-centered information. It also includes knowledge about the intent of these components which is human-centered information expressed in textual form in software. This project will investigate how these two kinds of information interact, how they complement each other, and how they can be jointly utilized during software evolution. The research will define and evaluate a new model for the comprehensive static analysis of source code which places textual information on similar footing with the results of classical program analysis. The proposed model will use program dependency analysis and text retrieval techniques. Using the new analysis, novel methodologies for the activities of software change, namely, concept location and impact analysis will be defined and evaluated. The new analysis will help humans increase their knowledge about the software and improve their communication about the intent of the software. It will be specifically useful for the analysis of software built from many heterogeneous components, written and designed by many developers, and operating on various platforms.

提案0820133标题：通过文本和结构信息的组合分析来支持软件进化：Andrian Marcus和Vaclav Rajlich，韦恩州立大学软件进化是软件生命周期中一个要求很高的阶段，因为它需要对应用领域和所有已经产生的工件有广泛的了解。这包括关于软件组件及其依赖关系的知识，这些知识可以从以编译器为中心的信息中提取出来。它还包括关于这些组件的意图的知识，这些意图是在软件中以文本形式表达的以人为中心的信息。这个项目将研究这两种信息是如何交互的，它们是如何相互补充的，以及它们是如何在软件发展过程中被联合利用的。本研究将定义和评估一种新的源代码综合静态分析模型，该模型将文本信息置于与经典程序分析结果相似的基础上。该模型将使用程序依赖分析和文本检索技术。使用新的分析，将定义和评估软件变更活动的新方法，即概念定位和影响分析。新的分析将帮助人类增加他们对软件的了解，并改善他们对软件意图的沟通。对于分析由许多异构组件构建、由许多开发人员编写和设计并在各种平台上运行的软件，它将特别有用。