Software testing as a problem of machine learning: towards a foundation on computational learning theory (extended abstract of keynote speech).
Hong ZhuPublished in: AST@ICSE (2018)
Keyphrases
- extended abstract
- software testing
- computational learning theory
- machine learning
- learning problems
- learning theory
- test cases
- pac learning
- software development
- information theoretic
- learning tasks
- machine learning algorithms
- software engineering
- integration testing
- regression testing
- software systems
- test data generation
- test suite
- testing process
- learning algorithm
- supervised learning
- test generation
- kernel methods
- text classification
- decision trees
- formal specification
- semi supervised learning
- text mining
- sample complexity
- reinforcement learning
- white box testing
- development process
- knowledge management
- open source
- pairwise
- feature selection