REU Site: Science of Software

这个项目是在北卡罗莱纳州立大学的一个新的REU站点。它的重点是培养软件工程方面的本科生，特别是与数据分析相关的技能。数据分析在公司和研究人员如何决定提高软件的可靠性和可用性方面变得越来越重要。该项目的目的是为不同群体的本科生提供研究机会和培训。该项目旨在培养学生的分析能力和研究能力，以引导他们未来从事研究工作。该项目将主要通过STARs联盟和不授予博士学位的大学招募妇女和少数民族。该项目涵盖了软件工程的各个领域，包括虚拟现实中的可视化和数据操作、基于模型的推理、人的方面（例如，眼动追踪数据）、bug修复和软件分析，这是软件和数据挖掘方法之间的交叉。整体研究主题将探讨如何利用定性组织知识，将数据的背景和意义与支持探索大型复杂数据集的定量数据挖掘方法相结合。该计划将鼓励学生通过演讲和在研究场所发表论文来传播他们的研究成果。

This project is for a new REU site at North Carolina State University. It is focused on training undergraduates in software engineering, particularly in skills related to data analytics. Data analytics has become increasingly important in how companies and researchers make decisions about improving the reliability and usability of software.The intention of the project is to give research exposure and training to a diverse group of undergraduate students. The project aims at building students' analytical skills as well as research skills with the goal of leading them toward a research career in future. The project will primarily recruit women and minorities through the STARs alliance and from non-PhD granting universities. The project covers various areas of software engineering including visualization and data manipulation in virtual reality, model-based reasoning, human aspects (e.g., eye tracking data), bug fixing, and software analytics which is a cross between software and data mining methods. The overall research theme will investigate how to take advantage of qualitative organizational knowledge which gives data its context and meaning integrated with quantitative data mining methods that support exploration of large and complex datasets. The project will encourage the students to disseminate their research findings through presentations as well as publishing in research venues.