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 :
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