REU SITE: CMU in Software Enginneering (REUSE)

软件工程(SE)是一个丰富的领域，致力于通过各种工具和技术提高软件开发的有效性。软件工程的研究将计算机科学的核心方面(如编程语言和机器学习)与新出现的软件问题(如隐私、安全性、移动性和适应性)联系在一起。该项目支持卡内基-梅隆大学正在进行的本科生研究体验(REU)网站，该网站为学生提供跨学科软件工程研究方面的培训，包括理解研究文献，制定和提炼研究问题，开发软件工程问题的新解决方案，以及应用科学评估方法。该项目将支持在卡内基梅隆大学对30名具有跨学科软件工程研究经验的本科生进行为期3年的培训。这些学生将主要从本科院校招收，这些院校的学生研究机会有限，特别强调为科学、技术、工程和数学(STEM)中代表性不足的群体成员以及一年级和二年级学生提供机会。参与者将在暑期结束时与教师导师一起进行研究，参加社区活动，并通过传统的出版渠道和学生研究竞赛以及整个系的演讲来交流他们的工作。该项目的一个主要目标是改善从大学到研究生院以及从研究生院到教职员工的渠道；同时，该网站积极培训研究生成为研究助理的有效导师，这是未来教职员工的一项关键技能。该项目将建立在许多曾与本科生合作进行个人研究的教职员工导师的经验基础上。虽然建立在计算机科学基础(如算法、编程语言、编译器和机器学习)的基础上，但软件工程同时也是一门工程学科。也就是说，SE和SE研究问题的实践都围绕着成功解决冲突约束的技术解决方案。因此，成本和收益之间的权衡是评估方法和工具有效性的一个组成部分。这个REU网站更进一步，解决了软件工程和另一个领域的研究问题，包括隐私、安全、移动性、人类心理学和其他科学。这些问题的一个子集包括：开发能够支持数学图表和符号可视化的新型编程语言；使用深度学习自动生成可读测试；多方计算的安全性；关键开源基础设施的可持续维护；自动识别和修复复杂的现代软件系统中的缺陷。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Software engineering (SE) is a rich field focused on improving the effectiveness of software development through a variety of tools and techniques. Research in software engineering brings core aspects of computer science, such as programming languages and machine learning, to bear on emerging software concerns such as privacy, security, mobility, and adaptability. This project supports an ongoing Research Experiences for Undergraduates (REU) site at Carnegie-Mellon University that provides students with training in interdisciplinary software engineering research, including understanding the research literature, formulating and refining research questions, developing novel solutions to software engineering problems, and applying scientific evaluation methods. The project will support the training of 30 undergraduate students over 3 years with research experiences in interdisciplinary software engineering at Carnegie Mellon University. These students will be recruited primarily from undergraduate-only institutions where students have limited research opportunities, with a special emphasis on providing opportunities to members of underrepresented groups in Science, Technology, Engineering, and Mathematics (STEM) and first- and second-year students. Participants will perform research with faculty mentors, participate in community activities, and communicate their work both through traditional publication channels and student research competitions and via department-wide presentations at the end of the summer. A primary goal for the program is to improve the pipeline from college to graduate school and from graduate school into faculty positions; simultaneously, the site actively trains graduate students to act as effective mentors of research assistants, a critical skill for future faculty members.The project will build on the experience of many of the faculty mentors who have worked with undergraduate students in their individual research. While built on computer science fundamentals (like algorithms, programming languages, compilers, and machine learning), software engineering is simultaneously an engineering discipline. That is, both the practice of SE and SE research problems revolve around technical solutions that successfully resolve conflicting constraints. As such, trade-offs between costs and benefits are an integral part of evaluating the effectiveness of methods and tools. This REU site takes this further, by tackling research problems that are at the intersection of software engineering and another field, including privacy, security, mobility, and human psychology and other sciences. A subset of these problems includes, among others: development of novel programming languages that can support visualization of mathematical diagrams and notation; automatic generating readable tests using deep learning; security of multi-party computation; sustainable maintenance of critical open source infrastructure; automatic identification and repair of defects in complex, modern software systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.