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Igor Steinmacher

Researcher at Northern Arizona University

Publications -  167
Citations -  2885

Igor Steinmacher is an academic researcher from Northern Arizona University. The author has contributed to research in topics: Computer science & Onboarding. The author has an hindex of 21, co-authored 132 publications receiving 1848 citations. Previous affiliations of Igor Steinmacher include University of São Paulo & University of Arizona.

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Social Barriers Faced by Newcomers Placing Their First Contribution in Open Source Software Projects

TL;DR: This study qualitatively analyzed social barriers that hindered newcomers' first contributions to Open Source Software (OSS) projects and defined a conceptual model composed of 58 barriers including 13 social barriers.
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A systematic literature review on the barriers faced by newcomers to open source software projects

TL;DR: A systematic literature review of papers reporting empirical evidence regarding the barriers that newcomers face when contributing to open source software projects identified 20 studies providing empirical evidence of barriers faced by newcomers to OSS projects while making a contribution.
Proceedings ArticleDOI

Overcoming open source project entry barriers with a portal for newcomers

TL;DR: The results indicate that FLOSScoach played an important role in guiding newcomers and in lowering barriers related to the orientation and contribution process, whereas it was not effective in lowering technical barriers.
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More Common Than You Think: An In-depth Study of Casual Contributors

TL;DR: This paper mined popular software repositories hosted on GitHub to investigate how common casual contributions are, and what are their characteristics, and found that both casual contributors and project maintainers believe that casual contributions have more benefits than drawbacks.
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The Power of Bots: Characterizing and Understanding Bots in OSS Projects

TL;DR: Although integrators reported that bots are useful for maintenance tasks, there was not a consistent, statistically significant difference between before and after bot adoption across the analyzed projects in terms of number of comments, commits, changed files, and time to close pull requests.