An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
Gias UddinYann-Gaël GuéhéneucFoutse KhomhChanchal K. RoyPublished in: CoRR (2021)
Keyphrases
- software engineering
- user friendly
- formal methods
- software engineers
- detection algorithm
- detection method
- design patterns
- ensemble learning
- artificial intelligence
- software development
- software developers
- neural network
- development process
- programming language
- false alarms
- database
- automatic detection
- reverse engineering
- sentiment classification
- development methodologies
- software tools
- random forest
- software architecture
- software systems
- benchmark datasets
- anomaly detection
- object detection
- training set
- decision trees
- learning algorithm