Correlation of User Behaviour Patterns and Assignment Supplements in KTH-GitHub Repositories

Abstract: With the increased popularity and usage of GitHub, universities such as KTH have chosen to include it in their Computer Science curriculum. Furthermore, the interest for mining GitHub-repositories has shared a similar increase. The purpose of this study is to investigate if commit metadata is sufficient enough to perform a distinct categorization of KTH students’ GitHub user behaviours for course assignments. Furthermore, the study investigates if there is a correlation between the various categories and the number of assignment supplements. The KTH GitHub organization was mined after which the average user behaviour was calculated for each assignment. Students were then compared to the average usage behaviour and categorized based on 5 different user behaviour segments. Moreover the average number of supplements was calculated for each category. The results show that there is no evident correlation between user behaviour patterns and assignment supplements. However, comparisons between course rounds reveal similar tendencies in represented categories, their average supplement count and their populations.