A study into the effects of personality type and methodology on cohesion in software engineering teams

Karn, John; Syed-Abdullah, Sharifah Lailee; Cowling, A.J.; Holcombe, Mike

doi:10.1080/01449290500102110

Cited by 46 publications

(32 citation statements)

References 26 publications

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“…During this study, every participant was required to answer Jung Myers-Briggs (MBTI) Personality test. The validity of this personality test has been demonstrated in other studies [13,18].…”

Section: A Participants/ Data Setsmentioning

confidence: 57%

“…Combinations of personalities that can compliment each other are crucial in ensuring the successfulness of software projects [13,20]. From the analysis, heterogeneous teams play important roles in team personality composition and software quality.…”

Section: Resultsmentioning

confidence: 99%

“…A team that is heterogeneous may work better than a group selected solely on technical ability [11][12][13]. However, when a heterogeneous team was given very simple tasks that do not demand high level creativity, conflicts occur among team members [14].…”

Section: B Personality and Team Performancementioning

confidence: 99%

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Analyzing personality types to predict team performance

Omar

Syed-Abdullah

Hussin

2010

2010 International Conference on Science and Social Research (CSSR 2010)

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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.

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Section: A Participants/ Data Setsmentioning

confidence: 57%

Section: Resultsmentioning

confidence: 99%

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Analyzing personality types to predict team performance

Omar

Syed-Abdullah

Hussin

2010

2010 International Conference on Science and Social Research (CSSR 2010)

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“…A combination of personality types is important and can have a significant effect on both performance of students in classroom or in teams in the workforce [67].…”

Section: Personality Types and Degree Programmentioning

confidence: 99%

Personality types of IT professors

Cecil

2009

Proceedings of the 10th ACM Conference on SIG-information Technology Education

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There has been a dramatic shift from students seeking computer science degrees to those seeking information technology degrees and enrollment in those programs continues to outpace that of computer science. While there are many reasons for this, one may be personality alignment between students and professors. Prior research has established that students are more comfortable with professors that have the same or similar personality types and are more likely to stay with a program. While there is a large body of literature on personality types in computer science programs, little exists in information technology programs. The purpose of this exploratory study is to determine the personality types of professors teaching in information technology programs in the United States using the Myers-Briggs Type Indicator. Understanding personality types may aid both CS and IT programs market, attract, and retain students.

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“…One source of variance was whether cohesion was primarily an interpersonal dynamic or extended to work tasks as well. To illustrate, Karn, Syed-Abdullah, Cowling, and Holcombe (2007) primarily emphasized the interpersonal or social facets of cohesion. They defined cohesion as the extent to which the individuals have formed "close friendships with others in their immediate work unit and their personal attraction to members of the group".…”

Section: Definition Of Cohesionmentioning

confidence: 99%

What are the Features and Practices of Workgroups that Epitomize Cohesion: Development of a Preliminary Measure

Treuer

Fuller‐Tyszkiewicz

Moss

et al. 2013

JBAR

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Presently, no consensus has been reached with regards to measuring workplace cohesion. Cohesion measures often allude to abstract concepts rather than tangible features, therefore this study identified the tangible features and specific practices that epitomize cohesive workgroups. Specifically, 28 individuals were interviewed and asked to reflect upon two workgroups in which they had been employed before, only one of which was cohesive. Participants identified tangible features, practices, or characteristics that typified each of these workgroups. Content analysis uncovered 14 features of cohesion, such as shared emotional events in the past, friendly and welcoming greetings, and a feeling of pride when other people in the team excel on some task. A provisional measure of cohesion was then distilled from these items.

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A study into the effects of personality type and methodology on cohesion in software engineering teams

Cited by 46 publications

References 26 publications

Analyzing personality types to predict team performance

Analyzing personality types to predict team performance

Personality types of IT professors

What are the Features and Practices of Workgroups that Epitomize Cohesion: Development of a Preliminary Measure

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