Sentiment analysis tools in software engineering: A systematic mapping study

M Obaidi, L Nagel, A Specht, J Klünder - Information and Software …, 2022 - Elsevier
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 …

[HTML][HTML] Burnout in software engineering: A systematic mapping 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 …

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software

Z Chen, JM Zhang, F Sarro, M Harman - … of the 30th ACM joint european …, 2022 - dl.acm.org
Machine Learning (ML) software can lead to unfair and unethical decisions, making software
fairness bugs an increasingly significant concern for software engineers. However …

A comprehensive empirical study of bias mitigation methods for machine learning classifiers

Z Chen, JM Zhang, F Sarro, M Harman - ACM Transactions on Software …, 2023 - dl.acm.org
Software bias is an increasingly important operational concern for software engineers. We
present a large-scale, comprehensive empirical study of 17 representative bias mitigation …

Tourism forecasting with granular sentiment analysis

H Li, H Gao, H Song - Annals of Tourism Research, 2023 - Elsevier
Generic sentiment calculations cannot fully reflect tourists' preferences, whereas fine-
grained sentiment analysis identifies tourists' precise attitudes. This study forecasted visitor …

An empirical study on deployment faults of deep learning based mobile applications

Z Chen, H Yao, Y Lou, Y Cao, Y Liu… - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
Deep learning (DL) is moving its step into a growing number of mobile software applications.
These software applications, named as DL based mobile applications (abbreviated as …

An analysis of cognitive change in online mental health communities: A textual data analysis based on post replies of support seekers

D Gu, M Li, X Yang, Y Gu, Y Zhao, C Liang… - Information Processing & …, 2023 - Elsevier
The replies of people seeking support in online mental health communities can be analyzed
to discover if they feel better after receiving support; feeling better indicates a cognitive …

Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions

A Alslaity, R Orji - Behaviour & Information Technology, 2024 - Taylor & Francis
Emotion detection and Sentiment analysis techniques are used to understand polarity or
emotions expressed by people in many cases, especially during interactive systems use …

Predictive models in software engineering: Challenges and opportunities

Y Yang, X Xia, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
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 …

Data augmentation for improving emotion recognition in software engineering communication

MM Imran, Y Jain, P Chatterjee… - Proceedings of the 37th …, 2022 - dl.acm.org
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 …