Evidence map›Paper›PMID 36159898›Full record

ArticleEmpirical software engineering2022

One-off events? An empirical study of hackathon code creation and reuse.

Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, James D Herbsleb

Abstract read
In one paragraph

Article in Empirical software engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ahmed Samir Imam MahmoudUniversity of Tartu, Tartu, Estonia.ORCID 0000-0002-9898-2158
Tapajit DeyLero-the Irish Software Research Centre, University of Limerick, Limerick, Ireland.ORCID 0000-0002-1379-8539
Alexander NolteUniversity of Tartu, Tartu, Estonia.ORCID 0000-0003-1255-824X
Audris MockusUniversity of Tennessee, Knoxville, TN USA.ORCID 0000-0002-7987-7598
James D HerbslebCarnegie Mellon University, Pittsburgh, PA USA.ORCID 0000-0002-7159-7524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: 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 hackathon code. Objective: We aim to understand the evolution of code used in and created during hackathon events, with a particular focus on the code blobs, specifically, how frequently hackathon teams reuse pre-existing code, how much new code they develop, if that code gets reused afterwards, and what factors affect reuse. Method: We collected information about 22,183 hackathon projects from Devpost and obtained related code blobs, authors, project characteristics, original author, code creation time, language, and size information from World of Code. We tracked the reuse of code blobs by identifying all commits containing blobs created during hackathons and identifying all projects that contain those commits. We also conducted a series of surveys in order to gain a deeper understanding of hackathon code evolution that we sent out to hackathon participants whose code was reused, whose code was not reused, and developers who reused some hackathon code. Result: 9.14% of the code blobs in hackathon repositories and 8% of the lines of code (LOC) are created during hackathons and around a third of the hackathon code gets reused in other projects by both blob count and LOC. The number of associated technologies and the number of participants in hackathons increase reuse probability. Conclusion: The results of our study demonstrates hackathons are not always "one-off" events as the common knowledge dictates and it can serve as a starting point for further studies in this area.

Indexed as

Code reuseEmpirical studyHackathonMining software repositoriesSurveyWorld of code

Identifiers

PMID36159898
PMCPMC9489595

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.