How software teams (self-)organise

Software has become an integral part of our daily lives. We are woken up by the alarm app on our phones; we use navigation software to commute to work; we use social media to interact with friends and collaborators around the world. Software is created by diverse teams where different developers have different backgrounds, specialisations, and experiences. Managing such teams is a challenging task that needs to account for this diversity while delivering timely and robust code. In the domain of Open Source software development, these challenges are further amplified as teams are self-managed and members can join or leave the team at any point in time. In our work, we develop and apply state-of-the-art data and network science methods that help teams to enhance their understanding of their internal team structure, identify perils, and design and implement corresponding solutions.

Related Publications

Detecting and Optimising Team Interactions in Software Development

PLOS One - 2024

Christian Zingg, Alexander von Gernler, Carsten Arzig, Frank Schweitzer and Christoph Gote

Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities

Social Network Analysis and Mining - 2023

Christoph Gote, Vincenzo Perri, Christian Zingg, Giona Casiraghi, Carsten Arzig, Alexander von Gernler, Frank Schweitzer and Ingo Scholtes

Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set

2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) - 2022

Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer and Ingo Scholtes

The downside of heterogeneity: How established relations counteract systemic adaptivity in tasks assignments

Entropy, 23(12), 1677 - 2021

Giona Casiraghi, Christian Zingg and Frank Schweitzer

gambit - An Open Source Name Disambiguation Tool for Version Control Systems

2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) - 2021

Christoph Gote and Christian Zingg

Analysing time-stamped co-editing networks in software development teams using git2net

Empirical Software Engineering - 2021

Christoph Gote, Ingo Scholtes and Frank Schweitzer

git2net - An Open Source Package to Mine Time-Stamped Collaboration Networks from Large git Repositories

Proceedings of the 16th International Conference on Mining Software Repositories - 2019

Christoph Gote, Ingo Scholtes and Frank Schweitzer