article

A design for team peer code review

Author:

Deborah A. TryttenAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 37, Issue 1

Pages 455 - 459

https://doi.org/10.1145/1047124.1047492

Published: 23 February 2005 Publication History

Get Access

Abstract

The software industry needs our graduates to have significant and meaningful experiences with teamwork. A new design has been developed for a teamwork exercise based on peer code review. This design uses the three Ss of building assignments for cooperative learning: Same problem, Specific choices, and Simultaneous report. Students perform peer code review individually, and within and between stable small groups. The code can be sanitized student work or may be altered by the instructor to meet specific course learning objectives. The review is done in three phases. First, individuals answer yes or no to questions that evaluate the quality of the design and code. Then each group answers the same set of questions. When the groups have completed their evaluation, the class joins together to reveal and discuss the answers. This design was successfully implemented during the 2003-2004 academic year in an introductory programming class. This design is applicable to more advanced classes with significant programming assignments. Future work includes extending this structure to give students experience with other software engineering artifacts early in their academic careers.

References

[1]

Arnow, D., Barshay, O., "WebToTeach: A Web-based Automated Program Checker", Frontiers in Education (FIE99), San Juan, Puerto Rico, November 1999.

Google Scholar

[2]

Bloom, B. S., Taxonomy of Educational Objectives. Handbook I: Cognitive Domain, David McKay Co., 1956.

Google Scholar

[3]

Cohen, L., "Code Reviews", Linux Journal, Volume 2001, Issue 81, January 2001, Article 11.

Google Scholar

[4]

Fink, L. D., Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses, Jossey-Bass, 2003.

Google Scholar

[5]

Fink, L. D., "Beyond Small Groups: Harnessing the Extraordinary Power of Learning Teams" in Team-Based Learning: A Transformative Use of Small Groups, Praeger, Michaelsen, L.K., Knight, A. B., and Fink, L.D. editors, 2002.

Google Scholar

[6]

Michaelsen, L. K. and Knight, A. B., "Creating Effective Assignments: A Key Component of Team Based Learning" in Team-Based Learning: A Transformative Use of Small Groups, Praeger, Michaelsen, L.K., Knight, A. B., and Fink, L.D. editors, 2002.

Google Scholar

[7]

Michaelsen, L. K., "Getting Started with Team Based Learning" in Team-Based Learning: A Transformative Use of Small Groups, Praeger, Michaelsen, L.K., Knight, A. B., and Fink, L.D. editors, 2002.

Google Scholar

[8]

Trivedi, A., Kar, D. C. Patterson-McNeill, H., "Automatic Assignment Management and Peer Evaluation", The Journal of Computing in Small Colleges, Volume 18, Issue 4, April 2003, pages 30--37.

Digital Library

Google Scholar

[9]

Trytten, D. A., "Progressing from Small Group Work to Cooperative Learning: A Case Study from Computer Science, Journal of Engineering Education, Volume 90, No. 1, January, 2001, pp 85--92.

Crossref

Google Scholar

[10]

Trytten, D. A., "Progressing from Small Group Work to Cooperative Learning: A Case Study from Computer Science", Proceedings of the 1999 Frontiers in Education Conference, November 1999.

Google Scholar

Cited By

View all

Koitz-Hristov RStone JYuen TShoop LRebelsky SPrather J(2025)Peer Code Review Methods: An Experience Report from a Data Structures and Algorithms CourseProceedings of the 56th ACM Technical Symposium on Computer Science Education V. 110.1145/3641554.3701799(610-616)Online publication date: 12-Feb-2025
https://dl.acm.org/doi/10.1145/3641554.3701799
Liu CWang DWang HWang YTu Y(2025)The effect of peer assessment-based collaborative concept mapping on pre-service teachers’ perceptions on smart learning environmentsJournal of Research on Technology in Education10.1080/15391523.2025.2459126(1-23)Online publication date: 3-Feb-2025
https://doi.org/10.1080/15391523.2025.2459126
Crandall JCrandall A(2024)Large Language Model-Supported Software Testing with the CS Matrix TaxonomyJournal of Computing Sciences in Colleges10.5555/3715602.371561240:1(49-58)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.5555/3715602.3715612
Show More Cited By

Index Terms

A design for team peer code review
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Process validation
        Walkthroughs

Recommendations

A Review of Peer Code Review in Higher Education

Peer review is the standard process within academia for maintaining publication quality, but it is also widely employed in other settings, such as education and industry, for improving work quality and for generating actionable feedback to content ...
A design for team peer code review
SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science education

The software industry needs our graduates to have significant and meaningful experiences with teamwork. A new design has been developed for a teamwork exercise based on peer code review. This design uses the three Ss of building assignments for ...
Collaborating with industry: strategies for an undergraduate software engineering program
SSEE '06: Proceedings of the 2006 international workshop on Summit on software engineering education

Software engineering is prominent in the collection of undergraduate disciplines that benefit most from experiential learning. Despite an exhaustive classroom and laboratory curriculum, the obtainment of program outcomes cannot be achieved without the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACM SIGCSE Bulletin Volume 37, Issue 1

2005

562 pages

ISSN:0097-8418

DOI:10.1145/1047124

Issue’s Table of Contents

SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science education
February 2005
610 pages
ISBN:1581139977
DOI:10.1145/1047344
Conference Chairs:
Wanda Dann
Ithaca College
,
Tom Naps
University of Wisconsin - Oshkosh
,
Program Chairs:
Paul Tymann
Rochester Institute of Technology
,
Doug Baldwin
SUNY Geneseo

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 February 2005

Published in SIGCSE Volume 37, Issue 1

Check for updates

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

72
Total Citations
View Citations
1,390
Total Downloads

Downloads (Last 12 months)27
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Koitz-Hristov RStone JYuen TShoop LRebelsky SPrather J(2025)Peer Code Review Methods: An Experience Report from a Data Structures and Algorithms CourseProceedings of the 56th ACM Technical Symposium on Computer Science Education V. 110.1145/3641554.3701799(610-616)Online publication date: 12-Feb-2025
https://dl.acm.org/doi/10.1145/3641554.3701799
Liu CWang DWang HWang YTu Y(2025)The effect of peer assessment-based collaborative concept mapping on pre-service teachers’ perceptions on smart learning environmentsJournal of Research on Technology in Education10.1080/15391523.2025.2459126(1-23)Online publication date: 3-Feb-2025
https://doi.org/10.1080/15391523.2025.2459126
Crandall JCrandall A(2024)Large Language Model-Supported Software Testing with the CS Matrix TaxonomyJournal of Computing Sciences in Colleges10.5555/3715602.371561240:1(49-58)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.5555/3715602.3715612
Banweer KTrytten D(2024)WIP: Code Insight: Combining Code Reading and Debugging Practices for Active Learning in Entry-Level Computer Science Courses2024 IEEE Frontiers in Education Conference (FIE)10.1109/FIE61694.2024.10893296(1-5)Online publication date: 13-Oct-2024
https://doi.org/10.1109/FIE61694.2024.10893296
Palvannan NBrown C(2023)Suggestion Bot: Analyzing the Impact of Automated Suggested Changes on Code Reviews2023 IEEE/ACM 5th International Workshop on Bots in Software Engineering (BotSE)10.1109/BotSE59190.2023.00015(33-37)Online publication date: May-2023
https://doi.org/10.1109/BotSE59190.2023.00015
Farah JSpaenlehauer BRodríguez-Triana MIngram SGillet D(2023)Integrating Code Reviews into Online Lessons to Support Software Engineering EducationLearning in the Age of Digital and Green Transition10.1007/978-3-031-26190-9_84(815-826)Online publication date: 23-Feb-2023
https://doi.org/10.1007/978-3-031-26190-9_84
Legacy CZieffler ABaumer BBarr VHorton N(2022)Facilitating team-based data science: Lessons learned from the DSC-WAV projectFoundations of Data Science10.3934/fods.2022003(0)Online publication date: 2022
https://doi.org/10.3934/fods.2022003
Lu MChiu M(2022)Do Teamwork Guidelines Improve Peer Assessment Accuracy or Attitudes During Collaborative Learning?IEEE Transactions on Education10.1109/TE.2021.313024265:4(485-492)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1109/TE.2021.3130242
Farah JSpaenlehauer BSharma VRodriguez-Triana MIngram SGillet D(2022)Impersonating Chatbots in a Code Review Exercise to Teach Software Engineering Best Practices2022 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON52537.2022.9766793(1634-1642)Online publication date: 28-Mar-2022
https://doi.org/10.1109/EDUCON52537.2022.9766793
Kubincová ZKl’uka JHomola MMarušák A(2022)Educational Code-Review Tool: A First GlimpseMethodologies and Intelligent Systems for Technology Enhanced Learning, 12th International Conference10.1007/978-3-031-20617-7_15(113-122)Online publication date: 23-Nov-2022
https://doi.org/10.1007/978-3-031-20617-7_15
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

A Review of Peer Code Review in Higher Education