An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software.
Aaditya BhatiaFoutse KhomhBram AdamsAhmed E. HassanPublished in: CoRR (2023)
Keyphrases
- machine learning
- software development
- technical issues
- feature selection
- machine learning methods
- software systems
- pattern recognition
- source code
- user interface
- wide variety
- data mining
- knowledge acquisition
- text classification
- decision trees
- learning tasks
- software evolution
- knowledge base
- machine learning approaches
- computer systems
- semi supervised learning
- machine learning algorithms
- software architecture
- computer vision
- short term
- learning algorithm
- software tools
- development projects
- software maintenance
- data sets
- support vector machine
- inductive learning
- learning systems
- e learning
- computer science
- computational intelligence
- software engineering