Akarsu, Zulal, Orgun, Pinar, Dinc, Hakan, Gunyel, Bora and Yilmaz, Murat ORCID: 0000-0002-2446-3224 (2019) Assessing personality traits in a large scale software development company: exploratory industrial case study. In: 26th European Conference on Software Process Improvement (2019), 18 - 20 Sept 2019, Edinburgh, Scotland. ISBN 978-3-030-28004-8
Abstract
Software development methodologies become increasingly more people
and team-oriented. However, many software projects fail due to conflicts of team
members. Formation of an effective software development team may be particularly
challenging given the differences inherent across an individual’s personality. This
paper explores personality traits of agile software development teams by using a
context-specific interactive assessment. Concerning the assessment, we have
conducted a questionnaire with 110 participants from a large-scale software
development company. We have visualized personality traits with team radar charts
showing the personality traits of 18 project teams and analyzed the results by
validation interviews. Our preliminary results indicate that higher introversion is
observed most commonly in isolated teams that has less contact with customers.
Moreover, high levels of agreeableness and conscientiousness personality traits are
observed in most of the agile software development teams.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Software Team Visualization; Agile Software Development; Personality Assessment; Industrial Case Study |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | European Conference on Software Process Improvement. Communications in Computer and Information Science (CCIS) 1060. Springer. ISBN 978-3-030-28004-8 |
Publisher: | Springer |
Official URL: | http://dx.doi.org/10.1007/978-3-030-28005-5_15 |
Copyright Information: | © 2019 Springer |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 24033 |
Deposited On: | 18 Dec 2019 15:09 by Thomas Murtagh . Last Modified 18 Dec 2019 15:09 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
487kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record