Bootstrapping a Lexicon for Emotional Arousal in Software Engineering

被引：27

作者：

Mantyla, Mika V. ^{[1
]}

Novielli, Nicole ^{[2
]}

Lanubile, Filippo ^{[2
]}

Claes, Maelick ^{[1
]}

Kuutila, Miikka ^{[1
]}

机构：

[1] Univ Oulu, ITEE M3S, Oulu, Finland

[2] Univ Bari, Bari, Italy

来源：

2017 IEEE/ACM 14TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2017) | 2017年

基金：

芬兰科学院;

关键词：

Sentiment Analysis; Lexicon; Emotional Arousal; Issue Report; Empirical Software Engineering; VALENCE;

D O I：

10.1109/MSR.2017.47

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：198 / 202

页数：5

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