REU Site: Research and Development of Algorithms in a Software Factory

REU网站：软件工厂的算法研发

• 批准号: 1658971
• 负责人: Clemente Izurieta
• 金额: $ 28.8万
• 依托单位: Montana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-15 至 2021-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1658971&HistoricalAwards=false
• 关键词: REU; Site; Research; Development; Algorithms

The objectives of Montana State University's (MSU) Computer Science (CS) Department REU project are 1) to expose undergraduate students to real-world, innovative and interdisciplinary algorithms research founded in modern software engineering techniques; 2) to encourage more undergraduates to continue their academic careers and seek graduate degrees in computer science and related disciplines; 3) to develop research skills and improve communication and collaborative skills; and 4) to foster collaboration and entrepreneurship in the development of prototype software through our innovative Software Factory environment. The REU program will aim to broaden impact and participation by recruiting high-quality undergraduate students from regional tribal colleges, students from small colleges with limited resources, as well as women engineering students to increase the gender and cultural diversity of students. The REU projects encourage students to take a systems-level perspective in solving problems from an ever-growing number of diverse commercial, educational and environmental domains. This REU will increase student awareness of cultural diversity and bolster academic confidence and interest among underrepresented groups to aid in retention and advancement, as well as preparing students in real world development environments. The program will leverage highly successful MSU campus-wide and College of Engineering programs already in place to recruit and retain underrepresented students from Montana tribal colleges.By using a realistic software development environment - the Software Factory, the PIs will heighten undergraduate student participation in innovative research of algorithm development. Project topics have been carefully selected by each mentor to make sure they include a significant development component. It seeks to increase the number and diversity of students entering graduate programs and research careers in computer science and related fields. The program will target a variety of topics in interdisciplinary research aligned with every mentor's area of expertise. The students will acquire key general research skills, learn how to design algorithms and develop and use tools to tackle complex problems.

蒙大拿州立大学(MSU)计算机科学(CS)系REU项目的目标是1)让本科生接触建立在现代软件工程技术基础上的真实世界、创新和跨学科的算法研究；2)鼓励更多的本科生继续他们的学术生涯并攻读计算机科学和相关学科的研究生学位；3)发展研究技能，提高沟通和协作能力；以及4)通过我们创新的软件工厂环境，促进原型软件开发中的合作和创业精神。REU计划旨在扩大影响和参与，从地区部落学院招收高质量的本科生，从资源有限的小型大学招收学生，以及女性工程学学生，以增加学生的性别和文化多样性。REU项目鼓励学生从系统的角度来解决越来越多的不同商业、教育和环境领域的问题。这一REU将提高学生对文化多样性的认识，并在代表不足的群体中增强学术信心和兴趣，以帮助留住和提升学生，并为学生在现实世界发展环境中做好准备。该计划将利用密歇根州立大学校园和工程学院已有的非常成功的计划，从蒙大拿州部落大学招收和留住代表不足的学生。通过使用现实的软件开发环境-软件工厂，PI将提高本科生对算法开发创新研究的参与度。每个导师都仔细选择了项目主题，以确保它们包含一个重要的开发部分。它寻求增加学生进入计算机科学和相关领域的研究生课程和研究职业的数量和多样性。该计划将针对与每个导师的专业领域一致的跨学科研究的各种主题。学生将获得关键的一般研究技能，学习如何设计算法，并开发和使用工具来解决复杂的问题。

项目成果

An Experiential Report on Using a Software Factory in a Rural State to Promote Entrepreneurship

农村利用软件工厂促进创业的经验报告

• 发表时间: 2018
• 期刊: IEEE TEMSCON 2018
• 作者: Izurieta C., Gunderson-Izurieta S.

A position study to investigate technical debt associated with security weaknesses

调查与安全弱点相关的技术债务的立场研究

• DOI: 10.1145/3194164.3194167
• 发表时间: 2018
• 期刊: TechDebt '18 Proceedings of the 2018 International Conference on Technical Debt
• 作者: Izurieta, Clemente;Rice, David;Kimball, Kali;Valentien, Tessa
• 通讯作者: Valentien, Tessa

Leveraging SecDevOps to Tackle the Technical Debt Associated with Cybersecurity Attack Tactics

利用 SecDevOps 解决与网络安全攻击策略相关的技术债务

• DOI: 10.1109/techdebt.2019.00012
• 发表时间: 2019
• 期刊: TechDebt 2019
• 作者: Izurieta, Clemente;Prouty, Mary
• 通讯作者: Prouty, Mary

KinDER: A Biocuration Tool for Extracting Kinase Knowledge from Biomedical Literature

KindER：从生物医学文献中提取激酶知识的生物管理工具

• 发表时间: 2017
• 期刊: Proceedings of the BioCreative VI Workshop
• 作者: Dopp, Daniel;Morrone, Adam;Kahanda, Indika
• 通讯作者: Kahanda, Indika