What can developers' messages tell us? A psycholinguistic analysis of Jazz teams' attitudes and behavior patterns
Sherlock A. Licorish, Stephen G. MacDonell

TL;DR
This study applies psycholinguistic analysis to developer messages in Jazz teams, revealing how team attitudes and behaviors evolve over project phases and are influenced by task types, with implications for project management and tool design.
Contribution
It introduces the use of behavioral psychology techniques in software engineering to analyze communication artifacts and track attitude and behavior changes over project duration.
Findings
Highest engagement at project start and end
Team collectiveness increases over time
Attitudes vary with task nature
Abstract
Reports that communication and behavioral issues contribute to inadequately performing software teams have fuelled a wealth of research aimed at understanding the human processes employed during software development. The increasing level of interest in human issues is particularly relevant for agile and global software development approaches that emphasize the importance of people and their interactions during projects. While mature analysis techniques in behavioral psychology have been recommended for studying such issues, particularly when using archives and artifacts, these techniques have rarely been used in software engineering research. We utilize these techniques under an embedded case study approach to examine whether IBM Rational Jazz practitioners' behaviors change over project duration and whether certain tasks affect teams' attitudes and behaviors. We found highest levels of…
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