Board 423: Using Agile Principles for Cohort Building in a Graduate Software Engineering Program
- Conference
- Location
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Baltimore , Maryland
- Publication Date
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June 25, 2023
- Start Date
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June 25, 2023
- End Date
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June 28, 2023
- Conference Session
- Tagged Topic
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NSF Grantees Poster Session
- Page Count
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8
- DOI
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10.18260/1-2--42764
- Permanent URL
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https://peer.asee.org/42764
- Download Count
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100
Paper Authors
Stan Kurkovsky Central Connecticut State University
Stan Kurkovsky is a professor at the Department of Computer Science at Central Connecticut State University. Stan earned his PhD from the Center for Advanced Computer Studies of the University of Louisiana in 1999. Results of his doctoral research have been applied to network planning and industrial simulation. Stan’s current research interests are in software engineering, mobile, and pervasive computing. He published over 90 papers in refereed proceedings of national and international conferences, scientific journals, and books. Stan serves as a reviewer and a member of program committees for a number of national and international conferences. During his academic career, Stan received over seven million dollars in funding from private and federal sources.
Abstract
This report describes an approach to building a cohort of students in a graduate software engineering program supported by the NSF S-STEM scholarship. We used many agile principles for building and sustaining the cohort, which is scaffolded around the students' academic studies and their simultaneous work on an externally sourced software development project. We discuss how the agile principles were applied in practice in this S-STEM project, how they helped build a cohesive student cohort, and how they helped bring the software development project to a successful completion. This report describes the work in progress, which is limited in scope by the software project duration and the number of participants.
Kurkovsky, S. (2023, June), Board 423: Using Agile Principles for Cohort Building in a Graduate Software Engineering Program Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42764
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