Machine Learning Methods and Asymmetric Cost Function to Estimate Execution Effort of Software Testing.
Daniel Guerreiro e SilvaMario JinoBruno Teixeira de AbreuPublished in: ICST (2010)
Keyphrases
- machine learning methods
- software testing
- testing process
- cost function
- control flow
- test cases
- software development
- machine learning
- software systems
- machine learning algorithms
- machine learning approaches
- software reliability
- fault localization
- quality assurance
- software engineering
- integration testing
- test data
- regression testing
- test case generation
- statistical methods
- ensemble methods
- white box testing
- test suite
- learning algorithm
- test generation
- training process
- reinforcement learning
- information systems
- test data generation
- model based testing
- learning process
- learned knowledge
- decision trees
- decision making
- real world
- databases
- database