DocumentCode
3208447
Title
Analyzing personality types to predict team performance
Author
Mazni, Omar ; Syed-Abdullah, Sharifah-Lailee ; Hussin, Naimah Mohd
Author_Institution
Department of Computer Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Arau Campus, 02600, Malaysia
fYear
2010
fDate
5-7 Dec. 2010
Firstpage
624
Lastpage
628
Abstract
This paper presents an approach in analyzing personality types, temperament and team diversity to determine software engineering (SE) teams performance. The benefits of understanding personality types and its relationships amongst team members are crucial for project success. Rough set analysis was used to analyze Myers-Briggs Type Indicator (MBTI) personality types, Keirsey temperament, team diversity, and team performance. The result shows positive relationships between these attributes.
Keywords
Accuracy; Computers; Rough sets; Sensors; Software engineering; Software quality; Personality types; Rough Set; SE teams; Team Diversity; Team Performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Social Research (CSSR), 2010 International Conference on
Conference_Location
Kuala Lumpur, Malaysia
Print_ISBN
978-1-4244-8987-9
Type
conf
DOI
10.1109/CSSR.2010.5773856
Filename
5773856
Link To Document