18 citations · 65 across the 12 of their papers we have counts for
6 papers · 1 filter
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities
Christoph Gote, Vincenzo Perri, Christian Zingg +5
Community smells are negative patterns in software development teams' interactions that impede their ability to successfully create software. Examples are team members working in i…
A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations
Leonore Röseler, Ingo Scholtes, Christoph Gote
Background: Despite a growing body of literature on the impact of software bots on open source software development teams, their effects on team communication, coordination, and co…
Detecting and Optimising Team Interactions in Software Development
Christian Zingg, Alexander von Gernler, Carsten Arzig +2
The functional interaction structure of a team captures the preferences with which members of different roles interact. This paper presents a data-driven approach to detect the fun…
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set
Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer +1
Massive data from software repositories and collaboration tools are widely used to study social aspects in software development. One question that several recent works have address…
Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
Christoph Gote, Ingo Scholtes, Frank Schweitzer
Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature…
git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories
Christoph Gote, Ingo Scholtes, Frank Schweitzer
Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature…