Journal
2017 IEEE/ACM 14TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2017)
Volume -, Issue -, Pages 198-202Publisher
IEEE
DOI: 10.1109/MSR.2017.47
Keywords
Sentiment Analysis; Lexicon; Emotional Arousal; Issue Report; Empirical Software Engineering
Funding
- Academy of Finland [298020]
- project EmoQuest
- MIUR under SIR program
- Academy of Finland (AKA) [298020, 298020] Funding Source: Academy of Finland (AKA)
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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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