Which contributions count? Analysis of attribution in open source
Open source software projects usually acknowledge contributions with text files, websites, and other idiosyncratic methods. These data sources are hard to mine, which is why contributorship is most frequently measured through changes to repositories, such as commits, pushes, or patches. Recently, some open source projects have taken to recording contributor actions with standardized systems; this opens up a unique opportunity to understand how community-generated notions of contributorship map onto codebases as the measure of contribution. Here, we characterize contributor acknowledgment models in open source by analyzing thousands of projects that use a model called All Contributors to acknowledge diverse contributions like outreach, finance, infrastructure, and community management. We analyze the life cycle of projects through this model’s lens and contrast its representation of contributorship with the picture given by other methods of acknowledgment, including GitHub’s top committers indicator and contributions derived from actions taken on the platform. We find that community-generated systems of contribution acknowledgment make work like idea generation or bug finding more visible, which generates a more extensive picture of collaboration. Further, we find that models requiring explicit attribution lead to more clearly defined boundaries around what is and what is not a contribution.
Tue 18 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
17:00 - 17:50 | |||
17:01 4mTalk | What Code Is Deliberately Excluded from Test Coverage and Why? Technical Papers Andre Hora UFMG Pre-print Media Attached | ||
17:05 3mTalk | AndroR2: A Dataset of Manually-Reproduced Bug Reports for Android apps Data Showcase Tyler Wendland University of Minnesota, Jingyang Sun University of Bristish Columbia, Junayed Mahmud George Mason University, S M Hasan Mansur George Mason University, Steven Huang University of Bristish Columbia, Kevin Moran George Mason University, Julia Rubin University of British Columbia, Canada, Mattia Fazzini University of Minnesota | ||
17:08 3mTalk | Apache Software Foundation Incubator Project Sustainability Dataset Data Showcase Likang Yin University of California, Davis, Zhiyuan Zhang University of California, Davis, Qi Xuan Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou 310023, China, Vladimir Filkov University of California at Davis, USA | ||
17:11 4mTalk | Leveraging Models to Reduce Test Cases in Software Repositories Technical Papers Pre-print Media Attached | ||
17:15 4mTalk | Which contributions count? Analysis of attribution in open source Technical Papers Jean-Gabriel Young University of Vermont, amanda casari Open Source Programs Office, Google, Katie McLaughlin Open Source Programs Office, Google, Milo Trujillo University of Vermont, Laurent Hébert-Dufresne University of Vermont, James P. Bagrow University of Vermont Pre-print Media Attached | ||
17:19 4mTalk | On Improving Deep Learning Trace Analysis with System Call Arguments Technical Papers Quentin Fournier Polytechnique Montréal, Daniel Aloise Polytechnique Montréal, Seyed Vahid Azhari Ciena, François Tetreault Ciena Pre-print | ||
17:23 27mLive Q&A | Discussions and Q&A Technical Papers |
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