2021/03/01 by Ahmed Imam, Tapajit Dey, Imam, Ahmed +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Biomedical and Engineering Education #E-Learning and Knowledge Management #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Software Engineering (cs.SE) #cs.SE
paper · pdf · doi:10.48550/arxiv.2103.01145
Accepted in Proceedings of the 18th International Conference on Mining Software Repositories, MSR '21
openalex publication_date 2021/03/01 · arxiv created 2021/03/18 · arxiv updated 2021/03/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Background: Hackathons have become popular events for teams to collaborate on projects and develop software prototypes. Most existing research focuses on activities during an event with limited attention to the evolution of the code brought to or created during a hackathon. Aim: We aim to understand the evolution of hackathon-related code, specifically, how much hackathon teams rely on pre-existing code or how much new code they develop during a hackathon. Moreover, we aim to understand if and where that code gets reused, and what factors affect reuse. Method: We collected information about 22,183 hackathon projects from DEVPOST -- a hackathon database -- and obtained related code (blobs), authors, and project characteristics from the World of Code. We investigated if code blobs in hackathon projects were created before, during, or after an event by identifying the original blob creation date and author, and also checked if the original author was a hackathon project member. We tracked code reuse by first identifying all commits containing blobs created during an event before determining all projects that contain those commits. Result: While only approximately 9.14% of the code blobs are created during hackathons, this amount is still significant considering the time and member constraints of such events. Approximately a third of these code blobs get reused in other projects. The number of associated technologies and the number of participants in a project increase reuse probability. Conclusion: Our study demonstrates to what extent pre-existing code is used and new code is created during a hackathon and how much of it is reused elsewhere afterwards. Our findings help to better understand code reuse as a phenomenon and the role of hackathons in this context and can serve as a starting point for further studies in this area.