%0 Conference Paper %B Proceedings of the 11th Working Conference on Mining Software Repositories %D 2014 %T Security and Emotion: Sentiment Analysis of Security Discussions on GitHub %A Pletea, Daniel %A Vasilescu, Bogdan %A Serebrenik, Alexander %K github %K mining challenge %K msr challenge %K security %K sentiment analysis %X 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. %B Proceedings of the 11th Working Conference on Mining Software Repositories %S MSR 2014 %I ACM %C New York, NY, USA %P 348–351 %@ 978-1-4503-2863-0 %U http://doi.acm.org/10.1145/2597073.2597117 %R 10.1145/2597073.2597117 %> https://flosshub.org/sites/flosshub.org/files/pletea.pdf %0 Conference Paper %B Proceedings of the 11th Working Conference on Mining Software Repositories %D 2014 %T Sentiment Analysis of Commit Comments in GitHub: An Empirical Study %A Guzman, Emitza %A Azócar, David %A Li, Yang %K Human Factors in Software Engineering %K mining challenge %K msr challenge %K sentiment analysis %X Emotions have a high impact in productivity, task quality, creativity, group rapport and job satisfaction. In this work we use lexical sentiment analysis to study emotions expressed in commit comments of different open source projects and analyze their relationship with different factors such as used programming language, time and day of the week in which the commit was made, team distribution and project approval. Our results show that projects developed in Java tend to have more negative commit comments, and that projects that have more distributed teams tend to have a higher positive polarity in their emotional content. Additionally, we found that commit comments written on Mondays tend to a more negative emotion. While our results need to be confirmed by a more representative sample they are an initial step into the study of emotions and related factors in open source projects. %B Proceedings of the 11th Working Conference on Mining Software Repositories %S MSR 2014 %I ACM %C New York, NY, USA %P 352–355 %@ 978-1-4503-2863-0 %U http://doi.acm.org/10.1145/2597073.2597118 %R 10.1145/2597073.2597118 %0 Journal Article %J Revista Eletrônica de Sistemas de Informação %D 2014 %T SENTIMENT ANALYSIS OF FREE/OPEN SOURCE DEVELOPERS: PRELIMINARY FINDINGS FROM A CASE STUDY %A Rousinopoulos, Athanasios-Ilias %A Gregorio Robles %A González-Barahona, Jesús M. %K developer productivity %K FLOSS %K mailing lists %K natural language processing %K openSUSE %K sentiment analysis %K software development; software repository mining %X Software development is a human intensive activity. And as such, how developers face their tasks is of major importance. In an environment such as the one that is common in FOSS (free/open source software) projects where professionals (i.e., paid developers) share the development effort with volunteers, the morale of the development and user community is of major importance. In this paper, we present a preliminary analysis using sentiment analysis techniques to a FOSS project. We therefore mine the mailing list of a project and apply these techniques to the most relevant participants. Although the application is at this time limited, we hope that this experience can be of benefit in the future to determine situations that may affect the developers or the project, such as low productivity, developer abandonment, project forking, etc. %B Revista Eletrônica de Sistemas de Informação %V 13 %8 08/2014 %U http://189.16.45.2/ojs/index.php/reinfo/article/view/1677 %N 2 %! RESI %R 10.5329/RESI.2014.1302006 %> https://flosshub.org/sites/flosshub.org/files/1677-6732-1-PB.pdf