Prof. Dr. Alexander Serebrenik, Eidhoven University of Technology: Gender and Community Smells

Wir laden die Interessierten ein, an einem Workshop teilzunehmen, der im Rahmen des ORCHESTRA-Stipendiums organisiert wird.

Prof. Dr. Alexander Serebrenik wird den Vortrag halten:

Gender and Community Smells

Gast: Prof. Dr. Alexander Serebrenik, Technische Universität Eidhoven, Abteilung für Mathematik und Informatik,


Mittwoch, November 9, 2022

12:30 – 13:30 Uhr


FSEGA-Gebäude, Raum C335, Teodor Mihali Straße, Nr. 58-60, 400591, Cluj-Napoca, Rumänien

Online-Teilnahme: Teams meeting

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Abstract: Community smells are patterns indicating suboptimal organization and communication of software development teams that have been shown to be related to suboptimal organization of the source code. Given a long-standing association of women and communication mediation, we have conducted a series of studies relating gender diversity to community smells, as well as comparing the results of the data analysis with developers‘ perception. To get further insights into the relationship between gender and community smells, we replicate our study focusing on the Brazilian software teams; indeed, culture-specific expectations on the behavior of people of different genders might have affected the perception of the importance of gender diversity and refactoring strategies when mitigating community smells. Finally,

This talk is based on a series of papers published in 2019-2022 and co-authored with Gemma Catolino, Filomena Ferrucci, Stefano Lambiase, Tiago Massoni, Fabio Palomba, Camila Sarmento, and Damian Andrew Tamburri.

Bio: Alexander Serebrenik is a full professor of social software engineering at the Eindhoven University of Technology, The Netherlands. His research goal is to facilitate the evolution of software by taking into account social aspects of software development. His work tends to involve theories and methods both from within computer science (e.g., theory of socio-technical coordination, methods from natural language processing, machine learning) and from outside of computer science (e.g., organizational psychology). He is actively involved in the organization of scientific conferences and is a member of the editorial board of several journals. He has won multiple best paper and distinguished reviewer awards.