Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Context: The pull-based development model is widely used in open source projects, leading
to the emergence of trends in distributed software development. One aspect that has …

Due to the diversity and variability of Chinese syntax and semantics, accurately identifying
and distinguishing individual emotions from online texts is challenging. To overcome this …

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

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 …

Sentiment analysis has various application scenarios in software engineering (SE), such as
detecting developers' emotions in commit messages and identifying their opinions on Q&A …

Context: Similar to social media platforms, people use emojis in software development
related communication to enrich the context and convey additional emotion. With the …

Display rules specify socially appropriate facial expressions in a given situation. However,
managing emotions for such a social adaption sometimes leads to deleterious psychological …

The pull request mechanism is commonly used to propose source code modifications and
get feedback from the community before merging them into a software repository. On GitHub …

Emojis, which encapsulate semantics beyond mere words or phrases, have become
prevalent in social network communications. This has spurred increasing scholarly interest …