CI-P: Collaborative Research: Advanced Text Analysis Infrastructure for Software Engineering

这个计划项目将社区聚集在一起，开始解决在软件工程中使用文本分析的挑战（即，从软件工件和程序代码中使用的自然语言中提取的信息的分析）。将与对使用文本分析感兴趣的软件工程社区的研究人员组织一系列讲习班，以便为研究社区提供必要基础设施的设计需求。软件领域的基础文本分析的公共基础结构将包括软件库、数据和教育材料。因为嵌入在软件工件、程序代码和文档中的文本信息编码了软件？S域概念和开发人员？了解它们，对于支持开发人员有效地维护它们是至关重要的。它对软件工程过程中的其他利益相关者（包括经理、客户和用户）来说是必不可少的。最近文献的一项研究表明，超过25种不同的软件工程任务，从需求分析到程序理解，都使用基于文本分析的工具。这个项目吗?S的结果将产生广泛的影响，使研究人员能够：结合不同类型的文本分析技术；将成功的研究成果转化为产业，并为软件工程研究人员应用文本分析技术提供便利；整合新组件，探索具体分析的新方法；获得基于文本分析的软件工程工具的持续用户评价；并使其他研究人员和实践者能够轻松地利用文本分析来解决新的软件工程问题。长期目标是创建这样一个基础设施，它将允许文本分析与软件工程师使用的当前技术和环境无缝集成。软件规模和复杂性的增加，以及更大的开发团队，使得人们在没有工具支持的情况下维护软件变得更加具有挑战性。

This planning project brings together the community to begin addressing the challenges of using text analysis (i.e., the analysis of the information extracted from the natural language used in software artifacts and program code) in software engineering. A set of workshops will be organized with researchers in the software engineering community interested in the use of text analysis, in order to elicit requirements for the design of the necessary infrastructure for the research community. The common infrastructure of foundational text analyses for the software domain will include software libraries, data, and educational materials.Because the textual information embedded in software artifacts, program code and documentation encodes the software?s domain incepts and developers? knowledge about them, it is critical in supporting developers to effectively maintain today?s software and it is essential to the other stake- holders in the software engineering process, including managers, clients, and users. A study of recent literature shows that over 25 distinct software engineering tasks, ranging from requirements analysis to program comprehension, utilize textual analysis based tools. This project?s outcomes will have a broad impact, enabling researchers to: combine different types of text analysis techniques; transfer results of successful research to industry and facilitate entry for software engineering researchers in applying text analysis techniques; integrate new components for exploration of novel approaches to specific analyses; gain continual user evaluation of text analysis-based software engineering tools; and enable other researchers and practitioners to easily leverage text analysis to solve new software engineering problems. The long-term goal is to create such an infrastructure, which will allow text analysis to integrate seamlessly with current technology and environments used by software engineers. The increase in software size and complexity, as well as larger development teams, have made it significantly more challenging for humans to maintain software without tools to support them.