Interdisciplinary Workshop on Statistical Natural Language Processing Methods for Software Engineering

软件工程统计自然语言处理方法跨学科研讨会

• 批准号: 1551318
• 负责人: Premkumar Devanbu
• 金额: $ 6.58万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1551318&HistoricalAwards=false
• 关键词: Interdisciplinary; Workshop; Statistical; Natural; Language

This grant funds a workshop to bring together two communities: Software Engineering and Natural Language Processing. Statistical natural language processing (NLP) techniques and tools have become very powerful and are applicable in many domains. Software Engineering researchers have begun to to adopt NLP techniques and tools in the context of Software Engineering to analyze repositories of source code as if they were natural language artifacts. The purpose of this grant is to bring together the Software Engineering and Natural Language communities to address these problems. Many Software Engineering processes and products involve natural language artifacts, such as requirements documents and code comments, and peer reviews, which play a role in program comprehension, code search, traceability and many other purposes in the software development process. The workshop will accelerate the pace of Software Engineering research in these areas and beyond. Natural Language researchers will identify new research directions stimulated by challenges in the Software Engineering domain. Natural Language can be a mode of communication to assist disabled such as people who are visually impaired and or have muscular injuries, thus one of the broader impacts is to advance research that would make programming tasks and jobs more accessible to those populations.

这笔拨款资助了一个研讨会，将两个社区聚集在一起：软件工程和自然语言处理。统计自然语言处理（NLP）技术和工具已经变得非常强大，并适用于许多领域。软件工程研究人员已经开始在软件工程的背景下采用NLP技术和工具来分析源代码存储库，就好像它们是自然语言工件一样。这项资助的目的是将软件工程和自然语言社区聚集在一起来解决这些问题。许多软件工程过程和产品涉及自然语言工件，例如需求文档和代码注释，以及同行评审，它们在软件开发过程中的程序理解、代码搜索、可追溯性和许多其他目的中发挥作用。研讨会将加快软件工程在这些领域及其他领域的研究步伐。自然语言研究人员将在软件工程领域的挑战刺激下确定新的研究方向。自然语言可以作为一种沟通方式，帮助视力受损或肌肉受伤的残疾人，因此，更广泛的影响之一是推进研究，使编程任务和工作更容易为这些人群所接受。