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Process improvement of peer code review and behavior analysis of its participants

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The software industry is urging on universities and colleges to cultivate software engineers who can write high quality programs. Peer code review (PCR) is accepted as an ideal way to maximize the learning outcome of students in writing quality code. Using this learning process, students improve their skills while scientific and efficient management removes the extra burden from instructors such as checking programs written by every student. In this paper, the previous PCR process was improved and the definitions of the relevant roles and documents were refined as well. After implementing this process in two academic years, some problems were found. By means of summarizing the email submissions by the students and also interviewing a few students, the behavior of all participants was preliminarily analyzed. With regards to the further quality assurance and high efficiency, a web-based management information system with a built-in blind review mechanism was discussed for solving the problems with process control, and also a game theoiy model was proposed for addressing the ethical issues in the whole PCR process.

Original languageEnglish
Title of host publicationSIGCSE'08 - Proceedings of the 39th ACM Technical Symposium on Computer Science Education
Pages107-111
Number of pages5
DOIs
Publication statusPublished - 2008
Event39th ACM Technical Symposium on Computer Science Education, SIGCSE 2008 - Portland, OR, United States
Duration: 12 Mar 200815 Mar 2008

Publication series

NameSIGCSE'08 - Proceedings of the 39th ACM Technical Symposium on Computer Science Education

Conference

Conference39th ACM Technical Symposium on Computer Science Education, SIGCSE 2008
Country/TerritoryUnited States
CityPortland, OR
Period12/03/0815/03/08

Keywords

  • Behavior analysis
  • Computer science education
  • Learning outcome
  • Peer code review (PCR)
  • Software quality assurance (SQA)

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