Determinants of social media adoption by B2B organizations

http://robertfeldt.net/publications/lenberg_2015_behavioral_se.pdf

Behavioral software engineering

https://www.eng.uwo.ca/electrical/faculty/capretz_l/docs/publications/Shirley-CHB-SLR-v21.pdf

Forty years of research on personality in software engineering: A mapping study

This study explores how team leaders sense the need for technology adaptation intervention in distributed, computer-mediated ("virtual") teams. Analysis and coding of critical incident data collected in interviews of practicing leaders produce a five-trigger model including (1) external constraint, (2) internal constraint, (3) information and communication technology (ICT) inadequacy, (4) ICT knowledge, skills, and abilities inadequacy, and (5) trust and relationship inadequacies. The resulting five-trigger model provides several key contributions including (1) a diagnostic tool for examining real, multi-trigger team technology adaptation contexts, enabling better leader training and evaluation as well as improved research on team technology adaptation and interventions and (2) a better understanding of the relationship between the technology structure strength indicators in adaptive structuration theory and the need for team technology adaptation intervention.

Vital signs for virtual teams: an empirically developed trigger model for technology adaptation interventions

In this paper, pair programming is empirically investigated from the perspective of developer personalities and temperaments and how they affect pair effectiveness. A controlled experiment was conducted to investigate the impact of developer personalities and temperaments on communication, pair performance and pair viability-collaboration. The experiment involved 70 undergraduate students and the objective was to compare pairs of heterogeneous developer personalities and temperaments with pairs of homogeneous personalities and temperaments, in terms of pair effectiveness. Pair effectiveness is expressed in terms of pair performance, measured by communication, velocity, design correctness and passed acceptance tests, and pair collaboration-viability measured by developers' satisfaction, knowledge acquisition and participation. The results have shown that there is important difference between the two groups, indicating better communication, pair performance and pair collaboration-viability for the pairs with heterogeneous personalities and temperaments. In order to provide an objective assessment of the differences between the two groups of pairs, a number of statistical tests and stepwise Discriminant Analysis were used.

An experimental investigation of personality types impact on pair effectiveness in pair programming

Personality type analysis can help take the guesswork out of putting together a high-performance software project team.

Yan Wah Lam

Papers

Who should work with whom?: building effective software project teams