3.8 Proceedings Paper

On the Use of Emoticons in Open Source Software Development

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3239235.3267434

关键词

Emoticons; Sentiment Analysis; Repository Mining; Emoticon Usage; Emotions; Open Source Software Development

资金

  1. Academy of Finland [298020]
  2. Academy of Finland (AKA) [298020, 298020] Funding Source: Academy of Finland (AKA)

向作者/读者索取更多资源

Background: Using sentiment analysis to study software developers' behavior comes with challenges such as the presence of a large amount of technical discussion unlikely to express any positive or negative sentiment. However, emoticons provide information about developer sentiments that can easily be extracted from software repositories. Aim: We investigate how software developers use emoticons differently in issue trackers in order to better understand the differences between developers and determine to which extent emoticons can be used as in place of sentiment analysis. Method: We extract emoticons from 1.3M comments from Apache's issue tracker and 4.5M from Mozilla's issue tracker using regular expressions built from a list of emoticons used by SentiStrength and Wikipedia. We check for statistical differences using Mann-Whitney U tests and determine the effect size with Cliff's delta. Results: Overall Mozilla developers rely more on emoticons than Apache developers. While the overall rate of comments with emoticons is of 1% and 3% for Apache and Mozilla, some individual developers can have a rate up to 21%. Looking specifically at Mozilla developers, we find that western developers use significantly more emoticons (with medium size effect) than eastern developers. While the majority of emoticons are used to express joy, we find that Mozilla developers use emoticons more frequently to express sadness and surprise than Apache developers. Finally, we find that Apache developers use overall more emoticons during weekends than during weekdays, with the share of sad and surprised emoticons increasing during weekends. Conclusions: While emoticons are primarily used to express joy, the more occasional use of sad and surprised emoticons can potentially be utilized to detect frustration in place of sentiment analysis among developers using emoticons frequently enough.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据