SHF: Small: RUI: Making Sense of Source Code: Improving Software through Information Retrieval

SHF：小型：RUI：理解源代码：通过信息检索改进软件

• 批准号: 0916081
• 负责人: Dawn Lawrie
• 金额: $ 30.98万
• 依托单位: Loyola University Maryland, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916081&HistoricalAwards=false
• 关键词: SHF; Small; RUI; Making; Sense

The cost-effective construction of software is increasingly important to businesses and consumers. Given software's ever-increasing size and complexity, modern software construction employs significant tool support. Recent tools complement traditional static analysis tools by exploiting the natural language found within a program's text through the use of Information Retrieval (IR). Best known for its use by search engines on the Internet, IR encompasses a growing collection of techniques that apply to large repositories of natural language. New tools using IR have tackled problems previously requiring considerable human effort. However, to reap the full benefit of IR techniques, the language across all software artifacts (e.g., requirement and design documents, test plans, as well as source code) must be normalized. Normalization align the vocabulary found in source code with that of other software artifacts. In addition to improving existing tools, normalization will also encourage the development of new techniques and methodologies useful in future tools. Empirical study of successful tool improvements will aid technology transfer of the tools expected to improve programmer productivity. Beyond its technical goals, this research promotes discovery in Loyola's undergraduate curriculum through the direct involvement of undergraduate students in scientific research and by integrating research results into classroom learning.

对企业和消费者来说，具有成本效益的软件构建越来越重要。由于软件的规模和复杂性不断增加，现代软件构造需要大量的工具支持。最近的工具补充了传统的静态分析工具，利用自然语言中发现的程序的文本，通过使用信息检索（IR）。IR以其在互联网上搜索引擎的使用而闻名，它包含了越来越多的适用于大型自然语言库的技术。使用IR的新工具已经解决了以前需要大量人力的问题。 然而，为了获得IR技术的全部好处，跨所有软件工件的语言（例如，需求和设计文档、测试计划以及源代码）必须规范化。 规范化将源代码中的词汇表与其他软件工件中的词汇表对齐。除了改进现有工具外，标准化还将鼓励开发对未来工具有用的新技术和方法。成功的工具改进的实证研究将有助于技术转让的工具，预计将提高程序员的生产力。 除了其技术目标，这项研究促进发现在洛约拉的本科课程，通过本科生直接参与科学研究，并通过将研究成果融入课堂学习。