Sentiment analysis has been applied to various software engineering (SE) tasks, such as
evaluating app reviews or analyzing developers' emotions in commit messages. Studies …

Software development is a collaborative task and, hence, involves different persons.
Research has shown the relevance of social aspects in the development team for a …

A recent research trend has emerged to identify developers' emotions, by applying
sentiment analysis to the content of communication traces left in collaborative development …

Recent years have seen an increasing attention to social aspects of software engineering,
including studies of emotions and sentiments experienced and expressed by the software …

The role of sentiment analysis is increasingly emerging to study software developers'
emotions by mining crowd-generated content within software repositories and information …

Context: Software development is a collaborative task. Previous research has shown social
aspects within development teams to be highly relevant for the success of software projects …

In this paper, we address the problem of using sentiment analysis tools' off-the-shelf', that is
when a gold standard is not available for retraining. We evaluate the performance of four SE …

Sentiment Analysis tools, developed for analyzing social media text or product reviews, work
poorly on a Software Engineering (SE) dataset. Since prior studies have found developers …

Existing tools for automated sentiment analysis in software engineering text suffer from
either or both of two limitations. First, they are developed for non-technical domain and …

Large software projects, both open and closed source, are constructed and maintained
collaboratively by teams of developers and testers, who are typically geographically …