The Interplay of Sampling and Machine Learning for Software Performance Prediction.
Christian KalteneckerAlexander GrebhahnNorbert SiegmundSven ApelPublished in: IEEE Softw. (2020)
Keyphrases
- machine learning
- prediction accuracy
- software systems
- monte carlo
- decision trees
- learning algorithm
- pattern recognition
- active learning
- machine learning algorithms
- data mining
- computer vision
- machine learning methods
- prediction error
- random sampling
- prediction model
- learning systems
- source code
- software developers
- software design
- website
- feature selection
- software projects
- software package
- sampling algorithm
- embedded systems
- prediction algorithm
- protein secondary structure prediction
- test cases
- text classification
- software development
- natural language processing
- software engineering
- semi supervised
- knowledge discovery
- user interface
- information systems
- artificial intelligence