REU SITE: CMU in Software Enginneering (REUSE)

REU 站点：CMU 软件工程（REUSE）

• 批准号: 2150217
• 负责人: Joshua Sunshine
• 金额: $ 41.63万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150217&HistoricalAwards=false
• 关键词: REU; SITE; CMU; Software; Enginneering

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.

软件工程（SE）是一个丰富的领域，专注于通过各种工具和技术提高软件开发的效率。软件工程研究将计算机科学的核心方面（例如编程语言和机器学习）引入到新兴的软件问题（例如隐私、安全性、移动性和适应性）中。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) 站点，该站点为学生提供跨学科软件工程研究的培训，包括理解研究文献、制定和完善研究问题、开发软件工程问题的新颖解决方案以及运用科学的评价方法。该项目将支持卡内基梅隆大学在三年内培养 30 名具有跨学科软件工程研究经验的本科生。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) 领域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。参与者将与教师导师一起进行研究，参与社区活动，并通过传统的出版渠道和学生研究竞赛以及夏末的全系演讲来交流他们的工作。该计划的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职位的通道；同时，该网站积极培训研究生作为研究助理的有效导师，这是未来教师的一项关键技能。该项目将建立在许多曾与本科生进行个人研究合作的教师导师的经验基础上。虽然软件工程建立在计算机科学基础知识（如算法、编程语言、编译器和机器学习）的基础上，但它同时也是一门工程学科。也就是说，SE 的实践和 SE 研究问题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。 REU 网站进一步解决了软件工程与其他领域（包括隐私、安全、移动性、人类心理学和其他科学）交叉的研究问题。这些问题的一部分包括：开发可以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点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

To disengage or not to disengage: a look at contributor disengagement in open source software

脱离还是不脱离：看看开源软件中贡献者脱离的情况

• DOI: 10.1145/3510454.3522685
• 发表时间: 2022-05
• 期刊: ICSE '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings
• 作者: Gray; Philip
• 通讯作者: Philip

How Algorithm Awareness Impacts Algospeak Use on TikTok

算法意识如何影响 TikTok 上 Algospeak 的使用

• DOI: 10.1145/3543873.3587355
• 发表时间: 2023-04
• 期刊: ACM
• 作者: Klug, Daniel;Steen, Ella;Yurechko, Kathryn
• 通讯作者: Yurechko, Kathryn

A US-UK Usability Evaluation of Consent Management Platform Cookie Consent Interface Design on Desktop and Mobile

美英对桌面和移动设备上同意管理平台 Cookie 同意界面设计的可用性评估

• DOI: 10.1145/3544548.3580725
• 发表时间: 2023-04
• 期刊: ACM
• 作者: Bouma;Li, Megan;Lin, Yanzi;Sakura;Nisenoff, Alexandra;Young, Ellie;Birrell, Eleanor;Cranor, Lorrie Faith;Habib, Hana
• 通讯作者: Habib, Hana

You Can (Not) Say What You Want: Using Algospeak to Contest and Evade Algorithmic Content Moderation on TikTok

你可以（不）说出你想说的话：使用 Algospeak 来竞争和逃避 TikTok 上的算法内容审核

• DOI: 10.1177/20563051231194586
• 发表时间: 2023-07
• 期刊: Social Media + Society
• 影响因子: 5.2
• 作者: Steen, Ella;Yurechko, Kathryn;Klug, Daniel
• 通讯作者: Klug, Daniel

Consumer-Driven Design and Evaluation of Broadband Labels

消费者驱动的宽带标签设计和评估

• DOI: 10.2139/ssrn.4528761
• 发表时间: 2023-01
• 期刊: SSRN Electronic Journal
• 作者: Choy, Christopher;Young, Ellie;Li, Megan;Cranor, Lorrie Faith;Peha, Jon M.
• 通讯作者: Peha, Jon M.