Security and Emotion: Sentiment Analysis of Security Discussions on GitHub

TitleSecurity and Emotion: Sentiment Analysis of Security Discussions on GitHub
Publication TypeConference Paper
Year of Publication2014
AuthorsPletea, Daniel, Vasilescu Bogdan, and Serebrenik Alexander
Secondary TitleProceedings of the 11th Working Conference on Mining Software Repositories
Pagination348–351
PublisherACM
Place PublishedNew York, NY, USA
ISBN Number978-1-4503-2863-0
Keywordsgithub, mining challenge, msr challenge, security, sentiment analysis
Abstract

Application security is becoming increasingly prevalent during software and especially web application development. Consequently, countermeasures are continuously being discussed and built into applications, with the goal of reducing the risk that unauthorized code will be able to access, steal, modify, or delete sensitive data. In this paper we gauged the presence and atmosphere surrounding security-related discussions on GitHub, as mined from discussions around commits and pull requests. First, we found that security related discussions account for approximately 10% of all discussions on GitHub. Second, we found that more negative emotions are expressed in security-related discussions than in other discussions. These findings confirm the importance of properly training developers to address security concerns in their applications as well as the need to test applications thoroughly for security vulnerabilities in order to reduce frustration and improve overall project atmosphere.

URLhttp://doi.acm.org/10.1145/2597073.2597117
DOI10.1145/2597073.2597117
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pletea.pdf250.26 KB