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• W3105496546 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." @default.
• W3105496546 created "2020-11-23" @default.
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• W3105496546 date "2017-05-01" @default.
• W3105496546 modified "2023-10-16" @default.
• W3105496546 title "Bootstrapping a Lexicon for Emotional Arousal in Software Engineering" @default.
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• W3105496546 doi "https://doi.org/10.1109/msr.2017.47" @default.
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