Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing.
Dawei ChengChun CaoChang XuXiaoxing MaPublished in: QRS (2018)
Keyphrases
- machine learning
- mutation testing
- source code
- test cases
- test sequences
- test generation
- static analysis
- database applications
- test suite
- machine learning algorithms
- machine learning methods
- supervised learning
- integration testing
- decision trees
- feature selection
- open source
- software systems
- artificial intelligence
- data mining
- database
- active learning
- test data
- black box
- learning algorithm
- databases
- data sets