Print Email Facebook Twitter Finding your digital sibling Title Finding your digital sibling: Grouping GitHub projects that share certain attributes based on interactions and activities Author de Bruin, Rowan (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Proksch, S. (mentor) Huang, S. (mentor) Olkhovskaya, Julia (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2024-02-01 Abstract This study explores the feasibility of categorizing GitHub projects based on their interactions and activities, aiming to assist both researchers and practitioners in navigating the vast landscape of open-source software. Through experiments and analysis, key attributes contributing to project categorization are identified, paving the way for effective grouping of projects in terms of interactions and activities. Findings indicate distinct clusters among GitHub projects, highlighting the influence of interactions and activities on project categorization. The study underscores the importance of refining grouping algorithms and improving project categorization methods for future research. Future work could involve developing user-friendly tools to facilitate project discovery and exploring correlations between interaction related metrics and project development dynamics. Overall, this study contributes to advancing our understanding of project categorization on GitHub, facilitating more efficient knowledge sharing and collaboration within professional fields. Subject GitHubInteractionsActivitiesSoftwareProject grouping To reference this document use: http://resolver.tudelft.nl/uuid:0734b9c6-888a-4e0d-a8b8-3f9c3c6dfc1e Part of collection Student theses Document type bachelor thesis Rights © 2024 Rowan de Bruin Files PDF Research_paper_28012024.pdf 1.27 MB Close viewer /islandora/object/uuid:0734b9c6-888a-4e0d-a8b8-3f9c3c6dfc1e/datastream/OBJ/view