Opinion mining for software development: a systematic literature review

B Lin, N Cassee, A Serebrenik, G Bavota… - ACM Transactions on …, 2022 - dl.acm.org
Opinion mining, sometimes referred to as sentiment analysis, has gained increasing
attention in software engineering (SE) studies. SE researchers have applied opinion mining …

[HTML][HTML] Burnout in software engineering: A systematic map** study

TR Tulili, A Capiluppi, A Rastogi - Information and Software Technology, 2023 - Elsevier
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 …

Sentiment polarity detection for software development

F Calefato, F Lanubile, F Maiorano… - Proceedings of the 40th …, 2018 - dl.acm.org
The role of sentiment analysis is increasingly emerging to study software developers'
emotions by mining crowd-generated content within software repositories and information …

Sentiment analysis for software engineering: How far can we go?

B Lin, F Zampetti, G Bavota, M Di Penta… - Proceedings of the 40th …, 2018 - dl.acm.org
Sentiment analysis has been applied to various software engineering (SE) tasks, such as
evaluating app reviews or analyzing developers' emotions in commit messages. Studies …

" Did you miss my comment or what?" understanding toxicity in open source discussions

C Miller, S Cohen, D Klug, B Vasilescu… - Proceedings of the 44th …, 2022 - dl.acm.org
Online toxicity is ubiquitous across the internet and its negative impact on the people and
that online communities that it effects has been well documented. However, toxicity …

On technical trading and social media indicators for cryptocurrency price classification through deep learning

M Ortu, N Uras, C Conversano, S Bartolucci… - Expert Systems with …, 2022 - Elsevier
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 …

On negative results when using sentiment analysis tools for software engineering research

R Jongeling, P Sarkar, S Datta, A Serebrenik - Empirical Software …, 2017 - Springer
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 …

SentiCR: A customized sentiment analysis tool for code review interactions

T Ahmed, A Bosu, A Iqbal… - 2017 32nd IEEE/ACM …, 2017 - ieeexplore.ieee.org
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 …

Emotions and perceived productivity of software developers at the workplace

D Girardi, F Lanubile, N Novielli… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emotions are known to impact cognitive skills, thus influencing job performance. This is also
true for software development, which requires creativity and problem-solving abilities. In this …

SentiStrength-SE: Exploiting domain specificity for improved sentiment analysis in software engineering text

MR Islam, MF Zibran - Journal of Systems and Software, 2018 - Elsevier
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 …