Bootstrapping a Lexicon for Emotional Arousal in Software Engineering
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by
Mika V. Mäntylä, Nicole Novielli, Filippo Lanubile, Maëlick
Claes, Miikka Kuutila
2017
Abstract
Emotional arousal increases activation and performance but may also lead to
burnout in software development. We present the first version of a Software
Engineering Arousal lexicon (SEA) that is specifically designed to address the
problem of emotional arousal in the software developer ecosystem. SEA is built
using a bootstrapping approach that combines word embedding model trained on
issue-tracking data and manual scoring of items in the lexicon. We show that
our lexicon is able to differentiate between issue priorities, which are a
source of emotional activation and then act as a proxy for arousal. The best
performance is obtained by combining SEA (428 words) with a previously created
general purpose lexicon by Warriner et al. (13,915 words) and it achieves
Cohen's d effect sizes up to 0.5.
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