Researchers have shown that sentiment analysis of software artifacts can potentially
improve various software engineering tools, including API and library recommendation …

Extensive research has been conducted on sentiment analysis for software engineering
(SA4SE). Researchers have invested much effort in developing customized tools (eg …

Sentiment analysis can provide a suitable lead for the tools used in software engineering
along with the API recommendation systems and relevant libraries to be used. In this …

Sentiment analysis (SA) of text-based software artifacts is increasingly used to extract
information for various tasks including providing code suggestions, improving development …

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 …

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

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 …

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 (SA) in software engineering (SE) text has drawn immense interests
recently. The poor performance of general-purpose SA tools, when operated on SE text, has …

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 …