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Software studio: teaching professional software engineering

Published: 09 March 2011 Publication History

Abstract

Software Studio is a studio-based learning (SBL) curriculum designed to train students as professional software engineers. Traditional software engineering courses remain important, but suffer significant gaps in preparing students for professional engagement. We describe our curriculum model, highlight ways in which it fills these gaps, and offer a SWOT analysis. As practical guidance, we reflect on our missteps and successes in implementing Software Studio over the past five semesters. Finally, we suggest future directions for Software Studio.

References

[1]
E. Allen, R. Cartwright, and C. Reis. Production programming in the classroom. ACM SIGCSE Bulletin, 35(1):89--93, January 2003.
[2]
http://iis.cse.eng.auburn.edu/ sbl/index.php.
[3]
H. J. Ellis, R. A. Morelli, T. R. de Lanerolle, et al. Can humanitarian open-source software development draw new students to CS? SIGCSE 2007, pages 551--555, March 2007.
[4]
R. P. Gabriel. Master of fine arts in software. http://dreamsongs.com/MFASoftware.html, accessed September 10, 2010.
[5]
S. Ramakrishnan. Muse studio lab and innovative software engineering capstone project experience. In Proceedings of the 8th ITiCSE Conference, pages 21--25, 2003.

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  • (2024)Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student TeamsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653634(569-575)Online publication date: 3-Jul-2024
  • (2024)External Projects and Partners: Addressing Challenges and Minimizing Risks from the OutsetProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653593(555-561)Online publication date: 3-Jul-2024
  • (2024)Technology Acquisition Plans to Foster Supply Chain Risk Management Learning Outcomes in Project-Based Software Development Courses2024 36th International Conference on Software Engineering Education and Training (CSEE&T)10.1109/CSEET62301.2024.10663048(1-10)Online publication date: 29-Jul-2024
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cover image ACM Conferences
SIGCSE '11: Proceedings of the 42nd ACM technical symposium on Computer science education
March 2011
754 pages
ISBN:9781450305006
DOI:10.1145/1953163
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 09 March 2011

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Author Tags

  1. HFOSS
  2. capstone project
  3. software engineering
  4. software studio
  5. studio-based learning

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  • Research-article

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SIGCSE '11
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SIGCSE '11 Paper Acceptance Rate 107 of 315 submissions, 34%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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The 56th ACM Technical Symposium on Computer Science Education
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Cited By

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  • (2024)Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student TeamsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653634(569-575)Online publication date: 3-Jul-2024
  • (2024)External Projects and Partners: Addressing Challenges and Minimizing Risks from the OutsetProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653593(555-561)Online publication date: 3-Jul-2024
  • (2024)Technology Acquisition Plans to Foster Supply Chain Risk Management Learning Outcomes in Project-Based Software Development Courses2024 36th International Conference on Software Engineering Education and Training (CSEE&T)10.1109/CSEET62301.2024.10663048(1-10)Online publication date: 29-Jul-2024
  • (2023)Combining GitHub, Chat, and Peer Evaluation Data to Assess Individual Contributions to Team Software Development ProjectsACM Transactions on Computing Education10.1145/359359223:3(1-23)Online publication date: 22-Jul-2023
  • (2023)Investigating Reflection in Undergraduate Software Development TeamsProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569790(743-749)Online publication date: 2-Mar-2023
  • (2021)Employing Authentic Analytics for More Authentic TasksBig Data in Education: Pedagogy and Research10.1007/978-3-030-76841-6_7(141-162)Online publication date: 5-Oct-2021
  • (2020)Industry-Focused Projects in an Intense One-Year ICT ProgrammeProceedings of the Twenty-Second Australasian Computing Education Conference10.1145/3373165.3373180(132-141)Online publication date: 3-Feb-2020
  • (2020)Software Startup Education: A Transition from Theory to PracticeFundamentals of Software Startups10.1007/978-3-030-35983-6_13(217-234)Online publication date: 29-Feb-2020
  • (2019)Design and Evaluation of an “Athletic” Approach to Software Engineering EducationACM Transactions on Computing Education10.1145/334427319:4(1-25)Online publication date: 17-Aug-2019
  • (2019)Incorporating Computing Professionals’ Know-howACM Transactions on Computing Education10.1145/330915719:3(1-18)Online publication date: 21-May-2019
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