Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

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 …

Predicting the prices of cryptocurrencies is a notoriously challenging task due to high
volatility and new mechanisms characterising the crypto markets. In this work, we focus on …

Automated sentiment analysis in software engineering textual artifacts has long been
suffering from inaccuracies in those few tools available for the purpose. We conduct an in …

Context: Burnout is a work-related syndrome that, similar to many occupations, influences
most software developers. For decades, studies in software engineering (SE) have explored …

Emotions and sentiment of software developers can largely influence the software
productivity and quality. However, existing work on emotion mining and sentiment analysis …

Sentiment and emotion detection from textual communication records of developers have
various application scenarios in software engineering (SE). However, commonly used off …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Emotions (eg, Joy, Anger) are prevalent in daily software engineering (SE) activities, and are
known to be significant indicators of work productivity (eg, bug fixing efficiency). Recent …

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 …