Nils Alznauer

dblp:359/4129 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0008-2724-1708ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021
YearPublicationVenuePosition
2026 Eye-Tracking Insights into the Effects of Type Annotations and Identifier Naming
Nils Alznauer, Norman Peitek, Youssef Abdelsalam, Annabelle Bergum, Marvin Wyrich, Sven Apel
ICPC1
2023 Automatic Core-Developer Identification on GitHub: A Validation Study
abstract
Many open-source software projects are self-organized and do not maintain official lists with information on developer roles. So, knowing which developers take core and maintainer roles is, despite being relevant, often tacit knowledge. We propose a method to automatically identify core developers based on role permissions of privileged events triggered in GitHub issues and pull requests. In an empirical study on 25/GitHub projects, (1) we validate the set of automatically identified core developers with a sample of project-reported developer lists, and (2) we use our set of identified core developers to assess the accuracy of state-of-the-art unsupervised developer classification methods. Our results indicate that the set of core developers, which we extracted from privileged issue events, is sound and the accuracy of state-of-the-art unsupervised classification methods depends mainly on the data source (commit data versus issue data) rather than the network-construction method (directed versus undirected, etc.). In perspective, our results shall guide research and practice to choose appropriate unsupervised classification methods, and our method can help create reliable ground-truth data for training supervised classification methods.
Thomas Bock 0002, Nils Alznauer, Mitchell Joblin, Sven Apel
ACM Trans. Softw. Eng. Methodol.2