Diversity and Inclusion in Software Engineering
Autor(en):
Zusammenfassung
Community smells are patterns indicating suboptimal organization and communication of software development teams that have been shown to be related to suboptimal organisation 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 in the relation 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, we extend the prediction model by including variables related to national diversity and see how the interplay between national diversity and gender diversity influences presence of community smells.
- Vollständige Referenz
- BibTeX
Serebrenik, A.,
(2023).
Diversity and Inclusion in Software Engineering.
In:
Engels, G., Hebig, R. & Tichy, M.
(Hrsg.),
Software Engineering 2023.
Bonn:
Gesellschaft für Informatik e.V..
(S. 21-22).
@inproceedings{mci/Serebrenik2023,
author = {Serebrenik, Alexander},
title = {Diversity and Inclusion in Software Engineering},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 21-22 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Serebrenik, Alexander},
title = {Diversity and Inclusion in Software Engineering},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 21-22 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| keynote2.pdf | 88.70Kb | Öffnen |
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Mehr Information
ISBN: 978-3-88579-726-5
ISSN: 1617-5468
Datum: 2023
Sprache:
(en)
(en)
Typ: Text/Conference Paper

