SRS-CCF: Supporting Software Evolution by the Combined Analysis of Textual and Structural Information
SRS-CCF: Supporting Software Evolution by the Combined Analysis of Textual and Structural Information
批准号:
0820133
负责人:
Andrian Marcus
金额:
$35.0万
依托单位:
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
项目状态:
已结题
起止时间:
2008-07-01 至 2012-06-30
中文摘要
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PI:Andrian Marcus和Vaclav Rajlich,韦恩州立大学软件进化是软件生命周期的一个要求很高的阶段,因为它需要有关应用程序领域和已产生的所有工件的广泛知识。这包括有关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。 它还包括关于这些组件的意图的知识,这些组件是以文本形式在软件中表达的以人为中心的信息。 本项目将研究这两种信息如何相互作用,它们如何相互补充,以及它们如何在软件演化过程中联合使用。 这项研究将定义和评估一个新的模型,用于对源代码进行全面的静态分析,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性分析和文本检索技术。 使用新的分析,新的方法,软件变更的活动,即概念定位和影响分析将被定义和评估。 新的分析将帮助人们增加他们对软件的了解,并改善他们对软件意图的沟通。 它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特别有用。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: SHF: Medium: Bug Report Management 2.0
-
批准号:1955837
-
项目类别:Continuing Grant
-
资助金额:$40.87万
-
财政年份:2020
-
负责人:Andrian Marcus
-
依托单位:
EAGER: Automatic Identification of Bug Description Elements
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批准号:1848608
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项目类别:Standard Grant
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资助金额:$20.0万
-
财政年份:2018
-
负责人:Andrian Marcus
-
依托单位:
SHF: Small: Collaborative Research:Text Retrieval in Software Engineering 2.0
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批准号:1526118
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项目类别:Standard Grant
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资助金额:$20.0万
-
财政年份:2015
-
负责人:Andrian Marcus
-
依托单位:
CAREER: Management of Unstructured Information During Software Evolution
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批准号:1514460
-
项目类别:Continuing Grant
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资助金额:$14.05万
-
财政年份:2014
-
负责人:Andrian Marcus
-
依托单位:
CI-P: Collaborative Research: Advanced Text Analysis Infrastructure for Software Engineering
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批准号:1205310
-
项目类别:Standard Grant
-
资助金额:$1.74万
-
财政年份:2012
-
负责人:Andrian Marcus
-
依托单位:
SHF: Small: Collaborative Research: Better Comprehension of Software Engineering Data
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批准号:1017263
-
项目类别:Continuing Grant
-
资助金额:$25.65万
-
财政年份:2010
-
负责人:Andrian Marcus
-
依托单位:
CAREER: Management of Unstructured Information During Software Evolution
-
批准号:0845706
-
项目类别:Continuing Grant
-
资助金额:$40.0万
-
财政年份:2009
-
负责人:Andrian Marcus
-
依托单位:
国内基金
海外基金
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