The emotional side of software developers in JIRA
Marco Ortu, Alessandro Murgia, Giuseppe Destefanis, Parastou Tourani, Roberto Tonelli, Michele Marchesi, Bram Adams · 2016
Issue tracking systems store valuable data for testing hypotheses concerning maintenance, building statistical prediction models and (recently) investigating developer affectiveness. For the latter, issue tracking systems can be mined to explore developers emotions, sentiments and politeness---affects for short. However, research on affect detection in software artefacts is still in its early stage due to the lack of manually validated data and tools.